24.3.15 Large Scale Models, City Scale Models, City Models

Chapter Contents (Back)
City Models. How to represent them:
See also GIS Implementation, City Models, Urban Models, City Data.
See also Cultural Heritage Sites, Modeling, Analysis, Large Scale Models.
See also GIS: Cadastral Data Storage and Use.
See also CityGML. Smart City related models:
See also Smart City Tools, Models.

Murai, S.,
Generation of 3D City Models in Japan: An Overview,
Ascona01(59-64). Modeling from 3D images. 0201
BibRef

Haala, N., and Hahn, M.,
Data Fusion for the Detection and Reconstruction of Buildings,
Ascona95(211-220). Combine range (DTM, etc.) with stereo and image data to get a good model for the building. BibRef 9500

Haala, N.[Norbert], Böhm, J.[Jan], Kada, M.[Martin],
Processing of 3D Building Models for Location Aware Applications,
PCV02(A: 138). 0305
BibRef

Haala, N.[Norbert], Böhm, J.[Jan],
A multi-sensor system for positioning in urban environments,
PandRS(58), No. 1, June 2003, pp. 31-42.
Elsevier DOI 0307
BibRef

Haala, N.[Norbert], Anders, K.H.[Karl-Heinrich],
Acquisition of 3D Urban Models by Analysis of Aerial Images, Digital Surface Models, and Existing 2D Building Information,
SPIE(3072), April 1997, pp. 212-222. BibRef 9704

Haala, N.[Norbert], Brenner, C.[Claus],
Interpretation of Urban Surface Models Using 2d Building Information,
CVIU(72), No. 2, November 1998, pp. 204-214.
DOI Link BibRef 9811
Earlier: Ascona97(213-222). BibRef

Haala, N.[Norbert], Brenner, C.[Claus],
Virtual City Models from Laser Altimeter and 2D Map Data,
PhEngRS(65), No. 7, July 1999, pp. 787. Use 2D ground plans and a laser digital surface model to derive 3D building geometry BibRef 9907

Haala, N.[Norbert], Brenner, C.[Claus],
Extraction of buildings and trees in urban environments,
PandRS(54), No. 2-3, July 1999, pp. 130-137. In the laser scanner issue. Using range data. BibRef 9907

Haala, N.[Norbert], Kada, M.[Martin],
An update on automatic 3D building reconstruction,
PandRS(65), No. 6, November 2010, pp. 570-580.
Elsevier DOI 1101
Reconstruction; Three-dimensional; Building; Urban; Automation BibRef

Brenner, C., Haala, N., Fritsch, D.[Diter],
Towards Fully Automated 3D City Model Generation,
Ascona01(47-57). Integrate 2-D surface models (maps) with 3D digital surface models. Generate surfaces in 3D data, force to polygonal shapes. 0201
BibRef

Brenner, C.,
Constraints for Modelling Complex Objects,
CMRT05(xx-yy).
PDF File. 0508
BibRef

Böhm, J., Haala, N.,
Efficient integration of aerial and terrestrial laser data for virtual city modeling using lasermaps,
Laser05(xx-yy).
PDF File. 0509
BibRef

Grejner-Brzezinska, D.A.[Dorota A.], Li, R.[Ron], Haala, N.[Norbert], Toth, C.K.[Charles K.],
From Mobile Mapping to Telegeoinformatics: Paradigm Shift in Geospatial Data Acquisition, Processing, and Management,
PhEngRS(70), No. 2, February 2004, pp. 197-210.
WWW Link. The mobile mapping systems paradigm has shifted from the post-mission to near-real-time systems due to the technological advances in positioning and imaging sensors, combined with the explosion in wireless mobile communication systems. 0403
BibRef

Kada, M.[Martin], McKinley, L.,
3D Building Reconstruction from Lidar Based on a Cell Decomposition Approach,
CMRT09(47-52).
PDF File. 0909
BibRef

Haala, N.[Norbert], Becker, S.[Susanne], Kada, M.[Martin],
Cell Decomposition for the Generation of Building Models at Multiple Scales,
PCV06(xx-yy).
PDF File. 0609

See also Grammar Supported Facade Reconstruction from Mobile Lidar Mapping. BibRef

Portales, C.[Cristina], Lerma, J.L.[Jose Luis], Navarro, S.[Santiago],
Augmented reality and photogrammetry: A synergy to visualize physical and virtual city environments,
PandRS(65), No. 1, January 2010, pp. 134-142.
Elsevier DOI 1001
Augmented reality; Model; Multisensor; Tracking; Navigation; Real time BibRef

Lerma, J.L., Navarro, S., Cabrelles, M., Portalès, C.,
Implementation of an Architectonic GIS on a Brickwork Farmhouse,
ISPRS08(B5: 1013 ff).
PDF File. 0807
BibRef

Poullis, C.[Charalambos], You, S.[Suya],
Photorealistic Large-Scale Urban City Model Reconstruction,
VCG(15), No. 4, July-August 2009, pp. 654-669.
IEEE DOI 0905
BibRef
Earlier:
Automatic Creation of Massive Virtual Cities,
VR09(199-202).
IEEE DOI 0905
Interactive reconstruction of buildings with linear and nonlinear surfaces, and a rendering engine to take advantage of the models. BibRef

Poullis, C.[Charalambos],
Large-Scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement,
PAMI(42), No. 5, May 2020, pp. 1132-1145.
IEEE DOI 2004
Laser radar, Buildings, Data mining, Solid modeling, Measurement, Tensor clustering, boundary refinement BibRef

Poullis, C.[Charalambos], You, S.[Suya],
3D Reconstruction of Urban Areas,
3DIMPVT11(33-40).
IEEE DOI 1109
BibRef
Earlier:
Automatic reconstruction of cities from remote sensor data,
CVPR09(2775-2782).
IEEE DOI 0906

See also Vision-Based System For Automatic Detection and Extraction Of Road Networks, A. BibRef

Poullis, C., You, S., and Neumann, U.,
Rapid Creation of Large-Scale Photorealistic Virtual Environments,
VR08(153-160).
IEEE DOI 0905
BibRef

Wang, L.[Lu], You, S.[Suya], Neumann, U.[Ulrich],
Large-Scale Urban Modeling by Combining Ground Level Panoramic and Aerial Imagery,
3DPVT06(806-813).
IEEE DOI 0606
BibRef

Hu, J.H.[Jin-Hui], You, S.[Suya], Neumann, U.[Ulrich],
Integrating LiDAR, Aerial Image and Ground Images for Complete Urban Building Modeling,
3DPVT06(184-191).
IEEE DOI 0606
BibRef

Zhou, Q.Y.[Qian-Yi], Neumann, U.[Ulrich],
2.5D building modeling by discovering global regularities,
CVPR12(326-333).
IEEE DOI 1208
BibRef
Earlier:
2.5D building modeling with topology control,
CVPR11(2489-2496).
IEEE DOI 1106
BibRef
Earlier:
2.5D Dual Contouring: A Robust Approach to Creating Building Models from Aerial LiDAR Point Clouds,
ECCV10(III: 115-128).
Springer DOI 0109
BibRef

Agarwal, S.[Sameer], Furukawa, Y.[Yasutaka], Snavely, N.[Noah], Curless, B.[Brian], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Reconstructing Rome,
Computer(43), No. 6, June 2010, pp. 40-47.
IEEE DOI 1007
BibRef

Agarwal, S.[Sameer], Furukawa, Y.[Yasutaka], Snavely, N.[Noah], Simon, I.[Ian], Curless, B.[Brian], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Building Rome in a Day,
CACM(54), No. 10, October 2011, pp. 105-112.
DOI Link 1110
BibRef
Earlier: A1, A3, A4, A6, A7, Only:
Building Rome in a day,
ICCV09(72-79).
IEEE DOI Award, Helmholtz Prize. 0909
We present a system that can reconstruct 3D geometry from large, unorganized collections of photographs. Our experimental results demonstrate that it is possible to reconstruct city-scale image collections with more than a hundred thousand images. BibRef

Lafarge, F.[Florent], Mallet, C.[Clément],
Creating Large-Scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation,
IJCV(99), No. 1, August 2012, pp. 69-85.
WWW Link. 1202
BibRef
Earlier:
Building large urban environments from unstructured point data,
ICCV11(1068-1075).
IEEE DOI 1201
City models from unstructed point data. Building, trees and complex surfaces. BibRef

Mallet, C., Soergel, U., Bretar, F.,
Analysis of Full-Waveform LIDAR Data for an Accurate Classification of Urban Areas,
ISPRS08(B3a: 85 ff).
PDF File. 0807
BibRef

Guo, L.[Li], Chehata, N.[Nesrine], Mallet, C.[Clement], Boukir, S.[Samia],
Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests,
PandRS(66), No. 1, January 2011, pp. 56-66.
Elsevier DOI 1101
BibRef
Earlier: A1, A2, A4, Only:
A two-pass random forests classification of airborne lidar and image data on urban scenes,
ICIP10(1369-1372).
IEEE DOI 1009
Lidar; Multispectral image; Urban; Random forests; Variable importance BibRef

Zhao, J.Q.[Jun-Qiao], Zhu, Q.[Qing], Du, Z.Q.[Zhi-Qiang], Feng, T.T.[Tian-Tian], Zhang, Y.T.[Ye-Ting],
Mathematical morphology-based generalization of complex 3D building models incorporating semantic relationships,
PandRS(68), No. 1, March 2012, pp. 95-111.
Elsevier DOI 1204
Generalization; Complex 3D building; Mathematical morphology; Levels of Detail; Semantic relationships BibRef

Zhu, Q.[Qing], Zhao, J.Q.[Jun-Qiao], Du, Z.Q.[Zhi-Qiang], Zhang, Y.T.[Ye-Ting], Xu, W.P.[Wei-Ping], Xie, X.[Xiao], Ding, Y.L.[Yu-Lin], Wang, F.[Fei], Wang, T.S.[Ting-Song],
Towards Semantic 3D City Modeling and Visual Explorations,
GeoInfo10(xx-yy).
PDF File. 1011
BibRef

Jedrzejas, T.[Thomas], Przybilla, H.J.[Heinz-Jürgen],
Generating Historical Urban 3D-Scenarios for Use in Google Earth Representing the Medieval City of Duisburg,
PFG(2009), No. 3, 2009, pp. 199-207.
WWW Link. 1211
BibRef

Semmo, A.[Amir], Hildebrandt, D.[Dieter], Trapp, M.[Matthias], Döllner, J.[Jürgen],
Concepts for Cartography-Oriented Visualization of Virtual 3D City Models,
PFG(2012), No. 4, 2012, pp. 455-465.
WWW Link. 1211
BibRef

Römer, C.[Christoph], Plümer, L.[Lutz],
Identifying Architectural Style in 3D City Models with Support Vector Machines,
PFG(2010), No. 5, 2010, pp. 371-384.
WWW Link. 1211
BibRef

Byelozyorov, S.[Sergiy], Jochem, R.[Rainer], Pegoraro, V.[Vincent], Slusallek, P.[Philipp],
From real cities to virtual worlds using an open modular architecture,
VC(29), No. 2, February 2013, pp. 141-153.
WWW Link. 1302
BibRef

Huang, X., Liu, H., Zhang, L.,
Spatiotemporal Detection and Analysis of Urban Villages in Mega City Regions of China Using High-Resolution Remotely Sensed Imagery,
GeoRS(53), No. 7, July 2015, pp. 3639-3657.
IEEE DOI 1503
Buildings BibRef

Ohori, K.A.[Ken Arroyo], Ledoux, H.[Hugo], Biljecki, F.[Filip], Stoter, J.[Jantien],
Modeling a 3D City Model and Its Levels of Detail as a True 4D Model,
IJGI(4), No. 3, 2015, pp. 1055.
DOI Link 1507
BibRef

Snavely, N.[Noah],
Technical Perspective: Paris Beyond Frommer's,
CACM(58), No. 12, December 2015, pp. 102.
DOI Link 1601
BibRef

Doersch, C.[Carl], Singh, S.[Saurabh], Gupta, A.[Abhinav], Sivic, J.[Josef], Efros, A.A.[Alexei A.],
What Makes Paris Look Like Paris?,
CACM(58), No. 12, December 2015, pp. 103-110.
DOI Link 1601
BibRef

Sargent, I.[Isabel], Holland, D.[David], Harding, J.[Jenny],
The Building Blocks of User-Focused 3D City Models,
IJGI(4), No. 4, 2015, pp. 2890.
DOI Link 1601
BibRef

Biljecki, F.[Filip], Stoter, J.[Jantien], Ledoux, H.[Hugo], Zlatanova, S.[Sisi], Çöltekin, A.[Arzu],
Applications of 3D City Models: State of the Art Review,
IJGI(4), No. 4, 2015, pp. 2842.
DOI Link 1601
BibRef

Sakurada, K.[Ken], Okatani, T.[Takayuki], Kitani, K.M.[Kris M.],
Hybrid macro-micro visual analysis for city-scale state estimation,
CVIU(146), No. 1, 2016, pp. 86-98.
Elsevier DOI 1604
City-scale BibRef

Hartmann, A.[André], Meinel, G.[Gotthard], Hecht, R.[Robert], Behnisch, M.[Martin],
A Workflow for Automatic Quantification of Structure and Dynamic of the German Building Stock Using Official Spatial Data,
IJGI(5), No. 8, 2016, pp. 142.
DOI Link 1609
BibRef

Larnaout, D.[Dorra], Gay-Bellile, V.[Vincent], Bourgeois, S.[Steve], Dhome, M.[Michel],
Fast and automatic city-scale environment modelling using hard and/or weak constrained bundle adjustments,
MVA(27), No. 5, August 2016, pp. 943-962.
Springer DOI 1609
BibRef

Liang, J.M.[Jian-Ming], Gong, J.H.[Jian-Hua], Liu, J.[Jin], Zou, Y.L.[Yu-Ling], Zhang, J.M.[Jin-Ming], Sun, J.[Jun], Chen, S.S.[Shui-Sen],
Generating Orthorectified Multi-Perspective 2.5D Maps to Facilitate Web GIS-Based Visualization and Exploitation of Massive 3D City Models,
IJGI(5), No. 11, 2016, pp. 212.
DOI Link 1612
BibRef

Tutzauer, P.[Patrick], Becker, S.[Susanne], Fritsch, D.[Dieter], Niese, T.[Till], Deussen, O.[Oliver],
A Study of the Human Comprehension of Building Categories Based on Different 3D Building Representations,
PFG(2016), No. 5-6, 2016, pp. 319-333.
DOI Link 1703
BibRef
Earlier: A1, A2, A4, A5, A3:
Understanding Human Perception Of Building Categories In Virtual 3d Cities - A User Study,
ISPRS16(B2: 683-687).
DOI Link 1610
BibRef

Rumpler, M.[Markus], Tscharf, A.[Alexander], Mostegel, C.[Christian], Daftry, S.[Shreyansh], Hoppe, C.[Christof], Prettenthaler, R.[Rudolf], Fraundorfer, F.[Friedrich], Mayer, G.[Gerhard], Bischof, H.[Horst],
Evaluations on multi-scale camera networks for precise and geo-accurate reconstructions from aerial and terrestrial images with user guidance,
CVIU(157), No. 1, 2017, pp. 255-273.
Elsevier DOI 1704
Photogrammetric computer vision BibRef

Tateno, K.[Keisuke], Tombari, F.[Federico], Navab, N.[Nassir],
Large scale and long standing simultaneous reconstruction and segmentation,
CVIU(157), No. 1, 2017, pp. 138-150.
Elsevier DOI 1704
Dense SLAM BibRef

Schöps, T.[Thomas], Sattler, T.[Torsten], Häne, C.[Christian], Pollefeys, M.[Marc],
Large-scale outdoor 3D reconstruction on a mobile device,
CVIU(157), No. 1, 2017, pp. 151-166.
Elsevier DOI 1704
Dense 3D reconstruction BibRef

Zhu, J.[Jie], Sun, Y.Z.[Yi-Zhong],
Building an Urban Spatial Structure from Urban Land Use Data: An Example Using Automated Recognition of the City Centre,
IJGI(6), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Virtanen, J.P.[Juho-Pekka], Kukko, A.[Antero], Kaartinen, H.[Harri], Jaakkola, A.[Anttoni], Turppa, T.[Tuomas], Hyyppä, H.[Hannu], Hyyppä, J.[Juha],
Nationwide Point Cloud: The Future Topographic Core Data,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Zhu, L.L.[Ling-Li], Kukko, A.[Antero], Virtanen, J.P.[Juho-Pekka], Hyyppä, J.[Juha], Kaartinen, H.[Harri], Hyyppä, H.[Hannu], Turppa, T.[Tuomas],
Multisource Point Clouds, Point Simplification and Surface Reconstruction,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Babahajiani, P.[Pouria], Fan, L.X.[Li-Xin], Kämäräinen, J.K.[Joni-Kristian], Gabbouj, M.[Moncef],
Urban 3D segmentation and modelling from street view images and LiDAR point clouds,
MVA(28), No. 7, October 2017, pp. 679-694.
Springer DOI 1710
BibRef

Potje, G.[Guilherme], Resende, G.[Gabriel], Campos, M.[Mario], Nascimento, E.R.[Erickson R.],
Towards an efficient 3D model estimation methodology for aerial and ground images,
MVA(28), No. 8, November 2017, pp. 937-952.
Springer DOI 1710
BibRef

Gao, X.[Xiang], Hu, L.H.[Li-Hua], Cui, H.N.[Hai-Nan], Shen, S.H.[Shu-Han], Hu, Z.Y.[Zhan-Yi],
Accurate and efficient ground-to-aerial model alignment,
PR(76), No. 1, 2018, pp. 288-302.
Elsevier DOI 1801
3D reconstruction of a large-scale architectural scene. Image based modeling. Use ground model. BibRef

Zhou, Y., Shen, S.H.[Shu-Han], Gao, X.[Xiang], Hu, L.H.[Li-Hua],
Accurate mesh-based alignment for ground and aerial multi-view stereo models,
ICIP17(2627-2631)
IEEE DOI 1803
Cameras, Computational modeling, Feature extraction, Image reconstruction, Reliability, Skeleton, Skeleton Facet Set BibRef

Liang, L.[Lei], Li, X.[Xinwu], Ferro-Famil, L.[Laurent], Guo, H.D.[Hua-Dong], Zhang, L.[Lu], Wu, W.J.[Wen-Jin],
Urban Area Tomography Using a Sparse Representation Based Two-Dimensional Spectral Analysis Technique,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Julin, A.[Arttu], Jaalama, K.[Kaisa], Virtanen, J.P.[Juho-Pekka], Pouke, M.[Matti], Ylipulli, J.[Johanna], Vaaja, M.[Matti], Hyyppä, J.[Juha], Hyyppä, H.[Hannu],
Characterizing 3D City Modeling Projects: Towards a Harmonized Interoperable System,
IJGI(7), No. 2, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Zhang, L.Q.[Li-Qiang], Zhang, L.[Liang],
Deep Learning-Based Classification and Reconstruction of Residential Scenes From Large-Scale Point Clouds,
GeoRS(56), No. 4, April 2018, pp. 1887-1897.
IEEE DOI 1804
Buildings, Feature extraction, Image reconstruction, Semantics, Shape, Solid modeling, Classification, reconstruction BibRef

Zhang, L.Q.[Li-Qiang], Li, Z.Q.[Zhu-Qiang], Li, A.J.[An-Jian], Liu, F.Y.[Fang-Yu],
Large-scale urban point cloud labeling and reconstruction,
PandRS(138), 2018, pp. 86-100.
Elsevier DOI 1804
ReLu-NN, Point cloud parsing, Building reconstruction BibRef

He, X.J.[Xian-Jin], Zhang, X.C.[Xin-Chang], Yang, J.[Jie],
Progressive Amalgamation of Building Clusters for Map Generalization Based on Scaling Subgroups,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Wolberg, G.[George], Zokai, S.[Siavash],
PhotoSketch: a photocentric urban 3D modeling system,
VC(34), No. 5, May 2018, pp. 605-616.
WWW Link. 1804
BibRef

Neuville, R.[Romain], Pouliot, J.[Jacynthe], Poux, F.[Florent], de Rudder, L.[Laurent], Billen, R.[Roland],
A Formalized 3D Geovisualization Illustrated to Selectivity Purpose of Virtual 3D City Model,
IJGI(7), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Huang, X., Hu, T., Li, J., Wang, Q., Benediktsson, J.A.,
Mapping Urban Areas in China Using Multisource Data With a Novel Ensemble SVM Method,
GeoRS(56), No. 8, August 2018, pp. 4258-4273.
IEEE DOI 1808
environmental monitoring (geophysics), geophysical image processing, remote sensing, urban mapping BibRef

Silva de Araujo, A.[Agnes], Pereira de Queiroz, A.[Alfredo],
Spatial Characterization and Mapping of Gated Communities,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Buyukdemircioglu, M.[Mehmet], Kocaman, S.[Sultan], Isikdag, U.[Umit],
Semi-Automatic 3D City Model Generation from Large-Format Aerial Images,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Agius, T.[Tyler], Sabri, S.[Soheil], Kalantari, M.[Mohsen],
Three-Dimensional Rule-Based City Modelling to Support Urban Redevelopment Process,
IJGI(7), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Conte, P.[Paolo], Girelli, V.A.[Valentina A.], Mandanici, E.[Emanuele],
Structure from Motion for aerial thermal imagery at city scale: Pre-processing, camera calibration, accuracy assessment,
PandRS(146), 2018, pp. 320-333.
Elsevier DOI 1812
Aerial thermography, Geometric calibration, Structure from Motion, Orthomosaicking, 00-01, 99-00 BibRef

Murshed, S.M.[Syed Monjur], Picard, S.[Solène], Koch, A.[Andreas],
Modelling, Validation and Quantification of Climate and Other Sensitivities of Building Energy Model on 3D City Models,
IJGI(7), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Joo, K.[Kyungdon], Oh, T.H.[Tae-Hyun], Kim, J.[Junsik], Kweon, I.S.[In So],
Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time,
PAMI(41), No. 3, March 2019, pp. 682-696.
IEEE DOI 1902
BibRef
Earlier:
Globally Optimal Manhattan Frame Estimation in Real-Time,
CVPR16(1763-1771)
IEEE DOI 1612
Estimation, Robustness, Real-time systems, Complexity theory, Stability analysis, Gravity, vanishing point estimation. Using surface normals. BibRef

Joo, K.[Kyungdon], Oh, T.H.[Tae-Hyun], Kweon, I.S.[In So], Bazin, J.C.[Jean-Charles],
Globally Optimal Inlier Set Maximization for Atlanta World Understanding,
PAMI(42), No. 10, October 2020, pp. 2656-2669.
IEEE DOI 2009
BibRef
Earlier:
Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation,
CVPR18(5726-5734)
IEEE DOI 1812
Estimation, Gravity, Cameras, Lasers, Optimization, Layout, Atlanta frame, RGB-D image, branch-and-bound, scene understanding. Buildings. BibRef

Wang, W.[Wei], Gao, W.[Wei],
Efficient multi-plane extraction from massive 3D points for modeling large-scale urban scenes,
VC(35), No. 5, May 2019, pp. 625-638.
WWW Link. 1906
BibRef

Cai, W.[Wei], Wen, X.D.[Xiao-Dong], Tu, Q.[Qiu], Guo, X.J.[Xiu-Juan],
Research on image processing of intelligent building environment based on pattern recognition technology,
JVCIR(61), 2019, pp. 141-148.
Elsevier DOI 1906
Intelligent building, Image processing, Satellite imagery, Building contours, Edge detection BibRef

Antón, D.[Daniel], Pineda, P.[Paloma], Medjdoub, B.[Benachir], Iranzo, A.[Alfredo],
As-Built 3D Heritage City Modelling to Support Numerical Structural Analysis: Application to the Assessment of an Archaeological Remain,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Strek, Z.[Zanna], Noga, K.[Karol],
Method of Delimiting the Spatial Structure of Villages for the Purposes of Land Consolidation and Exchange,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Xia, N.[Nan], Cheng, L.[Liang], Li, M.C.[Man-Chun],
Mapping Urban Areas Using a Combination of Remote Sensing and Geolocation Data,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Feng, Y.[Yu], Thiemann, F.[Frank], Sester, M.[Monika],
Learning Cartographic Building Generalization with Deep Convolutional Neural Networks,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Liu, S.[Sheng'en], Yi, H.[Hui], Chen, X.N.[Xiang-Ning], Wang, D.C.[De-Cheng], Jin, W.[Wei],
Multifaceted Geometric Assessment towards Simplified Urban Surfaces Built by 3D Reconstruction,
IJGI(8), No. 8, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Guzzetti, F., Anyabolu, K.L.N., d'Ambrosio, L., Marchetti, G.,
Built Environment: Modelling The Urban Space,
GEORES19(595-600).
DOI Link 1912
BibRef

Li, S.Y.[Si-Yi], Li, W.J.[Wen-Jing], Lin, Z.Y.[Zhi-Yong], Yi, S.J.[Sheng-Jie],
Method for 3D City Building Continuous Transformation Based on an Improved LOD Topological Data Structure,
IJGI(8), No. 11, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Lu, C.Y.[Chen-Yu], Pang, M.[Min], Zhang, Y.[Yang], Li, H.J.[Heng-Ji], Lu, C.P.[Cheng-Peng], Tang, X.L.[Xiang-Long], Cheng, W.[Wei],
Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Lee, J.W.[Ji-Won], Min, K.H.[Ki-Hong], Lee, Y.H.[Young-Hee], Lee, G.[GyuWon],
X-Net-Based Radar Data Assimilation Study over the Seoul Metropolitan Area,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Gibril, M.B.A.[Mohamed Barakat A.], Kalantar, B.[Bahareh], Al-Ruzouq, R.[Rami], Ueda, N.[Naonori], Saeidi, V.[Vahideh], Shanableh, A.[Abdallah], Mansor, S.[Shattri], Shafri, H.Z.M.[Helmi Z. M.],
Mapping Heterogeneous Urban Landscapes from the Fusion of Digital Surface Model and Unmanned Aerial Vehicle-Based Images Using Adaptive Multiscale Image Segmentation and Classification,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Kim, S.[Suzi], Kim, D.[Dodam], Choi, S.[Sunghee],
CityCraft: 3D virtual city creation from a single image,
VC(36), No. 5, May 2020, pp. 911-924.
WWW Link. 2005
BibRef

Huang, R.[Rong], Xu, Y.S.[Yu-Sheng], Hong, D.F.[Dan-Feng], Yao, W.[Wei], Ghamisi, P.[Pedram], Stilla, U.[Uwe],
Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global,
PandRS(163), 2020, pp. 62-81.
Elsevier DOI 2005
Semantic labeling, ALS point cloud, Deep learning, Feature embedding, Manifold learning, Graph optimization BibRef

Wagner, F.H.[Fabien H.], Dalagnol, R.[Ricardo], Tarabalka, Y.[Yuliya], Segantine, T.Y.F.[Tassiana Y. F.], Thomé, R.[Rogério], Hirye, M.C.M.[Mayumi C. M.],
U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images: Case Study in the Joanópolis City, Brazil,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Zhu, J.W.[Jing-Wei], Gehrung, J.[Joachim], Huang, R.[Rong], Borgmann, B.[Björn], Sun, Z.H.[Zheng-Hao], Hoegner, L.[Ludwig], Hebel, M.[Marcus], Xu, Y.S.[Yu-Sheng], Stilla, U.[Uwe],
TUM-MLS-2016: An Annotated Mobile LiDAR Dataset of the TUM City Campus for Semantic Point Cloud Interpretation in Urban Areas,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Yang, N.[Naisen], Tang, H.[Hong],
GeoBoost: An Incremental Deep Learning Approach toward Global Mapping of Buildings from VHR Remote Sensing Images,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Zhang, X.Y.[Xue-Yan],
Village-Level Homestead and Building Floor Area Estimates Based on UAV Imagery and U-Net Algorithm,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Esch, T.[Thomas], Zeidler, J.[Julian], Palacios-Lopez, D.[Daniela], Marconcini, M.[Mattia], Roth, A.[Achim], Mönks, M.[Milena], Leutner, B.[Benjamin], Brzoska, E.[Elisabeth], Metz-Marconcini, A.[Annekatrin], Bachofer, F.[Felix], Loekken, S.[Sveinung], Dech, S.[Stefan],
Towards a Large-Scale 3D Modeling of the Built Environment: Joint Analysis of TanDEM-X, Sentinel-2 and Open Street Map Data,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Jovanovic, D.[Dušan], Milovanov, S.[Stevan], Ruskovski, I.[Igor], Govedarica, M.[Miro], Sladic, D.[Dubravka], Radulovic, A.[Aleksandra], Pajic, V.[Vladimir],
Building Virtual 3D City Model for Smart Cities Applications: A Case Study on Campus Area of the University of Novi Sad,
IJGI(9), No. 8, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Xue, F.[Fan], Lu, W.S.[Wei-Sheng], Chen, Z.[Zhe], Webster, C.J.[Christopher J.],
From LiDAR point cloud towards digital twin city: Clustering city objects based on Gestalt principles,
PandRS(167), 2020, pp. 418-431.
Elsevier DOI 2008
LiDAR, Digital Twin City (DTC), Gestalt principles, Hierarchical clustering, Symmetry, Cross-section BibRef

Chen, W.[Wei], Zhou, Y.Y.[Yu-Yu], Wu, Q.S.[Qiu-Sheng], Chen, G.[Gang], Huang, X.[Xin], Yu, B.[Bailang],
Urban Building Type Mapping Using Geospatial Data: A Case Study of Beijing, China,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Zheng, X.W.[Xian-Wei], Huan, L.X.[Lin-Xi], Xia, G.S.[Gui-Song], Gong, J.Y.[Jian-Ya],
Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss,
PandRS(170), 2020, pp. 15-28.
Elsevier DOI 2011
Semantic segmentation, Convolutional neural network (ConvNet), Edge-aware loss BibRef

Wurm, M.[Michael], Droin, A.[Ariane], Stark, T.[Thomas], Geiß, C.[Christian], Sulzer, W.[Wolfgang], Taubenböck, H.[Hannes],
Deep Learning-Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling,
IJGI(10), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Li, M.L.[Ming-Lei], Nan, L.L.[Liang-Liang],
Feature-preserving 3D mesh simplification for urban buildings,
PandRS(173), 2021, pp. 135-150.
Elsevier DOI 2102
Urban modelling, Mesh simplification, Mesh filtering, Edge collapse BibRef

Neupane, B.[Bipul], Horanont, T.[Teerayut], Aryal, J.[Jagannath],
Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Yan, F.H.[Fei-Hu], Xia, E.[Enyong], Li, Z.X.[Zhao-Xin], Zhou, Z.[Zhong],
Sampling-Based Path Planning for High-Quality Aerial 3D Reconstruction of Urban Scenes,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Chen, D.Y.[De-Yue], Peng, L.[Ling], Li, W.C.[Wei-Chao], Wang, Y.D.[Yin-Da],
Building Extraction and Number Statistics in WUI Areas Based on UNet Structure and Ensemble Learning,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Cai, Y.Z.[Yuan-Zhi], Huang, H.[Hong], Wang, K.Y.[Kai-Yang], Zhang, C.[Cheng], Fan, L.[Lei], Guo, F.Y.[Fang-Yu],
Selecting Optimal Combination of Data Channels for Semantic Segmentation in City Information Modelling (CIM),
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Shao, Y.[Yang], Cooner, A.J.[Austin J.], Walsh, S.J.[Stephen J.],
Assessing Deep Convolutional Neural Networks and Assisted Machine Perception for Urban Mapping,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Ding, C.[Cheng], Weng, L.G.[Li-Guo], Xia, M.[Min], Lin, H.F.[Hai-Feng],
Non-Local Feature Search Network for Building and Road Segmentation of Remote Sensing Image,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Salleh, S.[Syahiirah], Ujang, U.[Uznir], Azri, S.[Suhaibah],
Virtual 3D Campus for Universiti Teknologi Malaysia (UTM),
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Zhao, B.[Bufan], Hua, X.H.[Xiang-Hong], Yu, K.[Kegen], He, X.X.[Xiao-Xing], Xue, W.X.[Wei-Xing], Li, Q.Q.[Qi-Qi], Qi, H.W.[Han-Wen], Zou, L.[Lujie], Li, C.[Cheng],
An Inverse Node Graph-Based Method for the Urban Scene Segmentation of 3D Point Clouds,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Wang, L.[Libo], Li, R.[Rui], Wang, D.Z.[Dong-Zhi], Duan, C.X.[Chen-Xi], Wang, T.[Teng], Meng, X.L.[Xiao-Liang],
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Han, J.L.[Jia-Li], Zhu, L.J.[Ling-Jie], Gao, X.[Xiang], Hu, Z.Y.[Zhan-Yi], Zhou, L.Y.[Li-Yang], Liu, H.M.[Hong-Min], Shen, S.H.[Shu-Han],
Urban Scene LOD Vectorized Modeling From Photogrammetry Meshes,
IP(30), 2021, pp. 7458-7471.
IEEE DOI 2109
Solid modeling, Buildings, Semantics, Image segmentation, Computational modeling, Shape, segment based modeling BibRef

Zhu, L.J.[Ling-Jie], Shen, S.H.[Shu-Han], Gao, X.[Xiang], Hu, Z.Y.[Zhan-Yi],
Large Scale Urban Scene Modeling from MVS Meshes,
ECCV18(XI: 640-655).
Springer DOI 1810
BibRef

Yang, C.[Chong], Zhang, F.[Fan], Gao, Y.L.[Yun-Long], Mao, Z.[Zhu], Li, L.[Liang], Huang, X.F.[Xian-Feng],
Moving Car Recognition and Removal for 3D Urban Modelling Using Oblique Images,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Luo, H.[Heng], He, B.[Biao], Guo, R.Z.[Ren-Zhong], Wang, W.X.[Wei-Xi], Kuai, X.[Xi], Xia, B.[Bilu], Wan, Y.[Yuan], Ma, D.[Ding], Xie, L.F.[Lin-Fu],
Urban Building Extraction and Modeling Using GF-7 DLC and MUX Images,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Abdollahi, A.[Abolfazl], Pradhan, B.[Biswajeet], Shukla, N.[Nagesh], Chakraborty, S.[Subrata], Alamri, A.[Abdullah],
Multi-Object Segmentation in Complex Urban Scenes from High-Resolution Remote Sensing Data,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Pepe, M.[Massimiliano], Costantino, D.[Domenica], Alfio, V.S.[Vincenzo Saverio], Vozza, G.[Gabriele], Cartellino, E.[Elena],
A Novel Method Based on Deep Learning, GIS and Geomatics Software for Building a 3D City Model from VHR Satellite Stereo Imagery,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Lin, G.Y.[Gui-Ye], Giordano, A.[Andrea], Sang, K.[Kun], Stendardo, L.[Luigi], Yang, X.C.[Xiao-Chun],
Application of Territorial Laser Scanning in 3D Modeling of Traditional Village: A Case Study of Fenghuang Village in China,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhao, L.[Ling], Luo, L.[Li], Li, B.[Bo], Xu, L.Y.[Li-Yan], Zhu, J.W.[Jia-Wei], He, S.[Silu], Li, H.F.[Hai-Feng],
Analysis of the Uniqueness and Similarity of City Landscapes Based on Deep Style Learning,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Yan, L.[Li], Li, Y.[Yao], Xie, H.[Hong],
Urban Building Mesh Polygonization Based on 1-Ring Patch and Topology Optimization,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhao, L.[Li], Liu, Y.M.[Yong-Mei], Men, C.G.[Chao-Guang], Men, Y.[Yubo],
Double Propagation Stereo Matching for Urban 3-D Reconstruction From Satellite Imagery,
GeoRS(60), 2022, pp. 1-17.
IEEE DOI 2112
Satellites, Solid modeling, Image edge detection, Image segmentation, Optimization, urban scenes BibRef

Namouchi, S.[Slim], Farah, I.R.[Imed Riadh],
Graph-Based Classification and Urban Modeling of Laser Scanning and Imagery: Toward 3D Smart Web Services,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Luo, B.H.[Bin-Han], Yang, J.[Jian], Song, S.[Shalei], Shi, S.[Shuo], Gong, W.[Wei], Wang, A.[Ao], Du, L.[Lin],
Target Classification of Similar Spatial Characteristics in Complex Urban Areas by Using Multispectral LiDAR,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Sánchez-Vaquerizo, J.A.[Javier Argota],
Getting Real: The Challenge of Building and Validating a Large-Scale Digital Twin of Barcelona's Traffic with Empirical Data,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Tumurbaatar, Z.[Zorigt], Miura, H.[Hiroyuki], Tsamba, T.[Tsoggerel],
Development of Building Inventory Data in Ulaanbaatar, Mongolia for Seismic Loss Estimation,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Alsadik, B.[Bashar], Khalaf, Y.H.[Yousif Hussein],
Potential Use of Drone Ultra-High-Definition Videos for Detailed 3D City Modeling,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Lee, A.[Ahyun], Lee, K.W.[Kang-Woo], Kim, K.H.[Kyong-Ho], Shin, S.W.[Sung-Woong],
A Geospatial Platform to Manage Large-Scale Individual Mobility for an Urban Digital Twin Platform,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Hu, Q.Y.[Qing-Yong], Yang, B.[Bo], Khalid, S.[Sheikh], Xiao, W.[Wen], Trigoni, N.[Niki], Markham, A.[Andrew],
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds,
IJCV(130), No. 2, February 2022, pp. 316-343.
Springer DOI 2202

WWW Link. Dataset, Urban. Urban scale point cloud BibRef

Maduako, I.[Iyke], Yi, Z.[Zhuangfang], Zurutuza, N.[Naroa], Arora, S.[Shilpa], Fabian, C.[Christopher], Kim, D.H.[Do-Hyung],
Automated School Location Mapping at Scale from Satellite Imagery Based on Deep Learning,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
Large scale, specific structures, which are highly varied. BibRef

Kulawiak, M.[Marek],
A Cost-Effective Method for Reconstructing City-Building 3D Models from Sparse Lidar Point Clouds,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Li, J.[Jihao], Weinmann, M.[Martin], Sun, X.[Xian], Diao, W.H.[Wen-Hui], Feng, Y.C.[Ying-Chao], Hinz, S.[Stefan], Fu, K.[Kun],
VD-LAB: A view-decoupled network with local-global aggregation bridge for airborne laser scanning point cloud classification,
PandRS(186), 2022, pp. 19-33.
Elsevier DOI 2203
Applications. Water, Powerlines. ALS Point Cloud, Classification, Deep Learning, Decoupled High-level Feature, Local-global Information Aggregation BibRef

Stouffs, R.[Rudi],
Virtual 3D City Models,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Berenguel-Baeta, B.[Bruno], Bermudez-Cameo, J.[Jesus], Guerrero, J.J.[Jose J.],
Atlanta scaled layouts from non-central panoramas,
PR(129), 2022, pp. 108740.
Elsevier DOI 2206
Omnidirectional vision, 3D vision, Non-central cameras, Layout recovery, Scene understanding BibRef

Li, M.T.[Meng-Tian], Xie, Y.[Yuan], Ma, L.Z.[Li-Zhuang],
Paying attention for adjacent areas: Learning discriminative features for large-scale 3D scene segmentation,
PR(129), 2022, pp. 108722.
Elsevier DOI 2206
Large-scale 3D point clouds, Attention, Long-tailed distribution, Segmentation BibRef

Zhang, H.C.[Huang-Chuang], Shi, R.P.[Ruo-Ping], Li, G.[Ge],
Geometric Construction of Video Stereo Grid Space,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
Digital twin. BibRef

Scalas, A.[Andreas], Cabiddu, D.[Daniela], Mortara, M.[Michela], Spagnuolo, M.[Michela],
Potential of the Geometric Layer in Urban Digital Twins,
IJGI(11), No. 6, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Gao, F.J.[Feng-Jiao], Yan, Y.M.[Yi-Ming], Lin, H.[Hemin], Shi, R.Y.[Rui-Yao],
PIIE-DSA-Net for 3D Semantic Segmentation of Urban Indoor and Outdoor Datasets,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Yu, M.[Mulin], Lafarge, F.[Florent], Oesau, S.[Sven], Hilaire, B.[Bruno],
Repairing geometric errors in 3D urban models with kinetic data structures,
PandRS(192), 2022, pp. 315-326.
Elsevier DOI 2209
Mesh repairing, Semantic reconstruction, Kinetic data structure, BIM, CityGML, IFC BibRef

Tanduo, B.[Beatrice], Martino, A.[Andrea], Balletti, C.[Caterina], Guerra, F.[Francesco],
New Tools for Urban Analysis: A SLAM-Based Research in Venice,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Sambaturu, B.[Bhavani], Gupta, A.[Ashutosh], Jawahar, C.V., Arora, C.[Chetan],
ScribbleNet: Efficient interactive annotation of urban city scenes for semantic segmentation,
PR(133), 2023, pp. 109011.
Elsevier DOI 2210
BibRef

Yi, S.[Shi], Liu, X.[Xi], Li, J.J.[Jun-Jie], Chen, L.[Ling],
UAVformer: A Composite Transformer Network for Urban Scene Segmentation of UAV Images,
PR(133), 2023, pp. 109019.
Elsevier DOI 2210
Urban scenes segmentation, UAV image, Composite backbone, Aggregation windows multi-head self-attention transformer block, V-shaped decoder BibRef

Tang, Q.[Quan], Liu, F.G.[Fa-Gui], Zhang, T.[Tong], Jiang, J.[Jun], Zhang, Y.[Yu], Zhu, B.[Boyuan], Tang, X.[Xuhao],
Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene Segmentation,
ITS(23), No. 10, October 2022, pp. 19224-19235.
IEEE DOI 2210
Image segmentation, Semantics, Logic gates, Transformers, Computational modeling, Convolutional neural networks, autonomous driving BibRef

Zhou, J.[Jie], Liu, Y.[Yaohui], Nie, G.[Gaozhong], Cheng, H.[Hao], Yang, X.Y.[Xin-Yue], Chen, X.X.[Xiao-Xian], Gross, L.[Lutz],
Building Extraction and Floor Area Estimation at the Village Level in Rural China Via a Comprehensive Method Integrating UAV Photogrammetry and the Novel EDSANet,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Watson, C.S.[C. Scott], Elliott, J.R.[John R.], Amey, R.M.J.[Ruth M. J.], Abdrakhmatov, K.E.[Kanatbek E.],
Analyzing Satellite-Derived 3D Building Inventories and Quantifying Urban Growth towards Active Faults: A Case Study of Bishkek, Kyrgyzstan,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Fan, Q.D.[Qin-Dong], Mei, X.J.[Xue-Jian], Zhang, C.M.[Chen-Ming], Yang, X.Y.[Xiao-Yu],
Research on Gridding of Urban Spatial Form Based on Fractal Theory,
IJGI(11), No. 12, 2022, pp. xx-yy.
DOI Link 2301
BibRef

Ma, X.T.[Xiao-Tong], Man, Q.X.[Qi-Xia], Yang, X.M.[Xin-Ming], Dong, P.L.[Pin-Liang], Yang, Z.L.[Ze-Long], Wu, J.R.[Jing-Ru], Liu, C.H.[Chun-Hui],
Urban Feature Extraction within a Complex Urban Area with an Improved 3D-CNN Using Airborne Hyperspectral Data,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Chen, J.[Jie], Dai, X.[Xinyi], Guo, Y.[Ya], Zhu, J.[Jingru], Mei, X.M.[Xiao-Ming], Deng, M.[Min], Sun, G.[Geng],
Urban Built Environment Assessment Based on Scene Understanding of High-Resolution Remote Sensing Imagery,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Dong, Y.[Yang], Song, J.X.[Jia-Xuan], Fan, D.Z.[Da-Zhao], Ji, S.[Song], Lei, R.[Rong],
Joint Deep Learning and Information Propagation for Fast 3D City Modeling,
IJGI(12), No. 4, 2023, pp. 150.
DOI Link 2305
BibRef

Wu, L.[Letian], Zhang, X.[Xian], Zhu, D.J.[De-Jun], Yang, W.K.[Wan-Kou],
BFANet: Effective segmentation network for low altitude high-resolution urban scene image,
JVCIR(94), 2023, pp. 103847.
Elsevier DOI 2306
Urban scene segmentation, Real-time semantic segmentation, Bi-lateral network, Convolutional neural network BibRef

Lytkin, S.[Sergey], Badenko, V.[Vladimir], Fedotov, A.[Alexander], Vinogradov, K.[Konstantin], Chervak, A.[Anton], Milanov, Y.[Yevgeny], Zotov, D.[Dmitry],
Saint Petersburg 3D: Creating a Large-Scale Hybrid Mobile LiDAR Point Cloud Dataset for Geospatial Applications,
RS(15), No. 11, 2023, pp. 2735.
DOI Link 2306
BibRef

Gutierrez, I.[Ivan], Weibull, W.[Wiktor], Watson, L.[Lisa], Olsen, T.M.[Thomas Meldahl], Escalona, A.[Alejandro],
Holistic 3D Model of an Urban Area in Norway: An Integration of Geophysical, Geotechnical, Remote Sensing, and Geological Methods,
RS(15), No. 11, 2023, pp. 2872.
DOI Link 2306
BibRef

Vaienti, B.[Beatrice], Petitpierre, R.[Rémi], di Lenardo, I.[Isabella], Kaplan, F.[Frédéric],
Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction,
RS(15), No. 13, 2023, pp. 3352.
DOI Link 2307
BibRef

Rantanen, T.[Toni], Julin, A.[Arttu], Virtanen, J.P.[Juho-Pekka], Hyyppä, H.[Hannu], Vaaja, M.T.[Matti T.],
Open Geospatial Data Integration in Game Engine for Urban Digital Twin Applications,
IJGI(12), No. 8, 2023, pp. 310.
DOI Link 2309
BibRef

Hui, Z.Y.[Zhen-Yang], Li, Z.X.[Zhuo-Xuan], Li, D.J.[Da-Jun], Xu, Y.[Yanan], Wang, Y.Q.[Yu-Qian],
Self-Adaptive Filtering for Ultra-Large-Scale Airborne LiDAR Data in Urban Environments Based on Object Primitive Global Energy Minimization,
RS(15), No. 16, 2023, pp. 4013.
DOI Link 2309
BibRef

Zhou, W.[Wujie], Gong, T.T.[Ting-Ting], Lei, J.S.[Jing-Sheng], Yu, L.[Lu],
DBCNet: Dynamic Bilateral Cross-Fusion Network for RGB-T Urban Scene Understanding in Intelligent Vehicles,
SMCS(53), No. 12, December 2023, pp. 7631-7641.
IEEE DOI 2311
BibRef

Zhang, G.Y.[Guang-Yun], Zhang, R.T.[Rong-Ting],
MeshNet-SP: A Semantic Urban 3D Mesh Segmentation Network with Sparse Prior,
RS(15), No. 22, 2023, pp. 5324.
DOI Link 2311
BibRef

Wang, J.X.[Jing-Xue], Li, H.[Huan], Xu, Z.H.[Zheng-Hui], Xie, X.[Xiao],
Semantic Segmentation of Urban Airborne LiDAR Point Clouds Based on Fusion Attention Mechanism and Multi-Scale Features,
RS(15), No. 21, 2023, pp. 5248.
DOI Link 2311
BibRef

Franzini, M.[Marica], Casella, V.M.[Vittorio Marco], Monti, B.[Bruno],
Assessment of Leica CityMapper-2 LiDAR Data within Milan's Digital Twin Project,
RS(15), No. 21, 2023, pp. 5263.
DOI Link 2311
BibRef

Liang, Y.[Yubin], Yang, Y.[Yang], Mu, Y.F.[Yi-Fan], Cui, T.J.[Tie-Jun],
Robust Fusion of Multi-Source Images for Accurate 3D Reconstruction of Complex Urban Scenes,
RS(15), No. 22, 2023, pp. 5302.
DOI Link 2311
BibRef

Gao, X.[Xiang], Tao, D.D.[Dong-Dong], Liu, Y.Q.[Yu-Qian], Xie, Z.X.[Ze-Xiao], Shen, S.H.[Shu-Han],
Vehicle-Borne Multi-Sensor Temporal-Spatial Pose Globalization via Cross-Domain Data Association,
ITS(24), No. 12, December 2023, pp. 13962-13975.
IEEE DOI 2312
BibRef

Li, X.[Xinhui], Li, M.J.[Ming-Jia], Li, X.P.[Xiao-Peng], Guo, X.J.[Xiao-Jie],
Learning Generalized Knowledge From a Single Domain on Urban-Scene Segmentation,
MultMed(25), 2023, pp. 7635-7646.
IEEE DOI 2312
BibRef

Uciechowska-Grakowicz, A.[Anna], Herrera-Granados, O.[Oscar], Biernat, S.[Stanislaw], Bac-Bronowicz, J.[Joanna],
Usage of Airborne LiDAR Data and High-Resolution Remote Sensing Images in Implementing the Smart City Concept,
RS(15), No. 24, 2023, pp. 5776.
DOI Link 2401
BibRef

Leroux, F.[Frédéric], Germain, M.[Mickaël], Clabaut, É.[Étienne], Bouroubi, Y.[Yacine], St-Pierre, T.[Tony],
Improving Three-Dimensional Building Segmentation on Three-Dimensional City Models through Simulated Data and Contextual Analysis for Building Extraction,
IJGI(13), No. 1, 2024, pp. 20.
DOI Link 2402
BibRef

Han, W.Y.[Wen-Yu], Wen, C.C.[Cong-Cong], Chok, L.[Lazarus], Tan, Y.L.[Yan Liang], Chan, S.L.[Sheung Lung], Zhao, H.[Hang], Feng, C.[Chen],
Autoencoding tree for city generation and applications,
PandRS(208), 2024, pp. 176-189.
Elsevier DOI Code:
WWW Link. 2402
City generation, Real-world city datasets, Tree-structured neural network, Urban planning applications BibRef

Groenen, I.[Inske], Rudinac, S.[Stevan], Worring, M.[Marcel],
PanorAMS: Automatic Annotation for Detecting Objects in Urban Context,
MultMed(26), 2024, pp. 1281-1294.
IEEE DOI 2402
City of Amsterdam and includes over 14 million noisy bounding box annotations of 22 object categories present in 771,299 panoramic images. Annotations, Geospatial analysis, Noise measurement, Urban areas, Protocols, Object detection, Labeling, Object detection, panoramic image datasets BibRef

Luo, H.T.[Hai-Tao], Zhang, J.M.[Jin-Ming], Liu, X.[Xiongfei], Zhang, L.[Lili], Liu, J.[Junyi],
Large-Scale 3D Reconstruction from Multi-View Imagery: A Comprehensive Review,
RS(16), No. 5, 2024, pp. 773.
DOI Link 2403
BibRef


Wei, W.J.[Wei-Jie], Oswald, M.R.[Martin R.], Nejadasl, F.K.[Fatemeh Karimi], Gevers, T.[Theo],
APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds,
SHARP23(1747-1756)
IEEE DOI 2401
BibRef

Lin, C.H.[Chieh Hubert], Lee, H.Y.[Hsin-Ying], Menapace, W.[Willi], Chai, M.L.[Meng-Lei], Siarohin, A.[Aliaksandr], Yang, M.H.[Ming-Hsuan], Tulyakov, S.[Sergey],
InfiniCity: Infinite-Scale City Synthesis,
ICCV23(22751-22761)
IEEE DOI 2401
BibRef

Li, Y.X.[Yi-Xuan], Jiang, L.[Lihan], Xu, L.[Linning], Xiangli, Y.B.[Yuan-Bo], Wang, Z.Z.[Zhen-Zhi], Lin, D.[Dahua], Dai, B.[Bo],
MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond,
ICCV23(3182-3192)
IEEE DOI Code:
WWW Link. 2401
BibRef

He, L.[Liu], Aliaga, D.[Daniel],
GlobalMapper: Arbitrary-Shaped Urban Layout Generation,
ICCV23(454-464)
IEEE DOI 2401
BibRef

Li, W.J.[Wei-Jia], Lai, Y.W.[Ya-Wen], Xu, L.N.[Lin-Ning], Xiangli, Y.B.[Yuan-Bo], Yu, J.H.[Jin-Hua], He, C.H.[Cong-Hui], Xia, G.S.[Gui-Song], Lin, D.[Dahua],
OmniCity: Omnipotent City Understanding with Multi-Level and Multi-View Images,
CVPR23(17397-17407)
IEEE DOI 2309
BibRef

Turki, H.[Haithem], Zhang, J.Y.[Jason Y.], Ferroni, F.[Francesco], Ramanan, D.[Deva],
SUDS: Scalable Urban Dynamic Scenes,
CVPR23(12375-12385)
IEEE DOI 2309
BibRef

Das, A.[Anurag], Xian, Y.Q.[Yong-Qin], He, Y.[Yang], Akata, Z.[Zeynep], Schiele, B.[Bernt],
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation,
WACV23(5967-5976)
IEEE DOI 2302
Training, Costs, Annotations, Semantic segmentation, Semantics, Data models, segmentation BibRef

Huang, X.L.[Xing-Liang], Ren, L.[Libo], Liu, C.L.[Cheng-Long], Wang, Y.X.[Yi-Xuan], Yu, H.F.[Hong-Feng], Schmitt, M.[Michael], Hänsch, R.[Ronny], Sun, X.[Xian], Huang, H.[Hai], Mayer, H.[Helmut],
Urban Building Classification (UBC) - A Dataset for Individual Building Detection and Classification from Satellite Imagery,
EarthVision22(1412-1420)
IEEE DOI 2210
Geometry, Satellites, Shape, Buildings, Urban areas, Urban planning, Morphology BibRef

Orsingher, M.[Marco], Zani, P.[Paolo], Medici, P.[Paolo], Bertozzi, M.[Massimo],
Efficient View Clustering and Selection for City-Scale 3D Reconstruction,
CIAP22(II:114-124).
Springer DOI 2205
BibRef

Altuntas, C.,
Triangulation and Time-of-flight Based 3d Digitisation Techniques Of Cultural Heritage Structures,
ISPRS21(B2-2021: 825-830).
DOI Link 2201
BibRef
And:
Three-dimensional Digitization of Environments and Buildings for Smart City Applications,
SmartCityApp21(65-71).
DOI Link 2201
BibRef

Dimitrov, H., Petrova-Antonova, D.,
3d City Model As a First Step Towards Digital Twin of Sofia City,
ISPRS21(B4-2021: 23-30).
DOI Link 2201
BibRef

Harrie, L., Kanters, J., Mattisson, K., Nezval, P., Olsson, P.O., Pantazatou, K., Kong, G., Fan, H.,
3d City Models for Supporting Simulations In City Densifications,
GeoInfo21(73-77).
DOI Link 2201
BibRef

Ibrahim, M.[Muhammad], Akhtar, N.[Naveed], Jalwana, M.A.A.K.[Mohammad A. A. K.], Wise, M.[Michael], Mian, A.[Ajmal],
High Definition LiDAR mapping of Perth CBD,
DICTA21(01-08)
IEEE DOI 2201
Point cloud compression, Cloud computing, Laser radar, Navigation, Annotations, Roads, High definition (HD) mapping, LiDAR, urban mapping BibRef

Huang, Y.X.[Yu-Xing], Shen, Q.[Qiu], Fu, Y.[Ying], You, S.[Shaodi],
Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image,
PBDL21(1117-1126)
IEEE DOI 2112
Image segmentation, Visualization, Costs, Annotations, Semantics, Urban areas, Manuals BibRef

Illarionova, S.[Svetlana], Nesteruk, S.[Sergey], Shadrin, D.[Dmitrii], Ignatiev, V.[Vladimir], Pukalchik, M.[Mariia], Oseledets, I.[Ivan],
Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study,
ILDAV21(1659-1668)
IEEE DOI 2112
Training, Image segmentation, Satellites, Semantics, Buildings, Pipelines BibRef

van Etten, A.[Adam], Hogan, D.[Daniel], Manso, J.M.[Jesus Martinez], Shermeyer, J.[Jacob], Weir, N.[Nicholas], Lewis, R.[Ryan],
The Multi-Temporal Urban Development SpaceNet Dataset,
CVPR21(6394-6403)
IEEE DOI 2111
Multiuser detection, Satellites, Change detection algorithms, Buildings, Time series analysis, Sociology BibRef

Shen, B.Y.[Bing-Yu], Li, B.Y.[Bo-Yang], Scheirer, W.J.[Walter J.],
Automatic Virtual 3D City Generation for Synthetic Data Collection,
WACVW21(161-170) Autonomous Vehicle Vision
IEEE DOI 2105
Training, Solid modeling, Computational modeling, Urban areas, Pipelines BibRef

Wu, S.[Sidi], Liebel, L.[Lukas], Körner, M.[Marco],
Derivation of Geometrically and Semantically Annotated UAV Datasets at Large Scales from 3D City Models,
ICPR21(4712-4719)
IEEE DOI 2105
Deep learning, Training, Image segmentation, Surface reconstruction, Annotations, 3D City Models BibRef

Yao, S.Z.[Shi-Zeng], Ali Akbarpour, H.[Hadi], Seetharaman, G.[Guna], Palaniappan, K.[Kannappan],
City-Scale Point Cloud Stitching Using 2d/3d Registration for Large Geographical Coverage,
WAAMI20(32-45).
Springer DOI 2103
BibRef

Ying, Y., Koeva, M.N., Kuffer, M., Zevenbergen, J.A.,
Urban 3d Modelling Methods: A State-of-the-art Review,
ISPRS20(B4:699-706).
DOI Link 2012
BibRef

Gorbatsevich, V., Kulgildin, B., Melnichenko, M., Vygolov, O., Vizilter, Y.,
Semi-automatic Cityscape 3d Model Restoration Using Generative Adversarial Network,
ISPRS20(B2:415-420).
DOI Link 2012
BibRef

Dukai, B., Peters, R., Wu, T., Commandeur, T., Ledoux, H., Baving, T., Post, M., van Altena, V., van Hinsbergh, W., Stoter, J.,
Generating, Storing, Updating and Disseminating A Countrywide 3d Model,
GeoInfo20(27-32).
DOI Link 2012
BibRef

Ariff, S.A.M., Azri, S., Ujang, U., Nasir, A.A.M., Ahmad Fuad, N., Karim, H.,
Exploratory Study of 3d Point Cloud Triangulation for Smart City Modelling and Visualization,
SmartCityApp20(71-79).
DOI Link 2012
BibRef

Mickrenska-Cherneva, C., Alexandrov, A.,
Mobile Laser Scanning In Highly Urbanized Area: A Case Study In Sofia,
SmartCity20(29-36).
DOI Link 2012
BibRef

Li, Z., Wu, B., Li, Y.,
Integration of Aerial, MMS, and Backpack Images for Seamless 3d Mapping In Urban Areas,
ISPRS20(B2:443-449).
DOI Link 2012
BibRef

Polat, N.,
LIDAR Derived 3D City Modelling,
SmartCityApp20(339-342).
DOI Link 2012
BibRef

Balzani, M., Rossato, L., Raco, F., Kühl, B.M.[B. Mugayar],
3D City Modelling Toward Conservation and Management. The Digital Documentation of Museu Do Ipiranga - USP, San Paulo, Brazil,
SmartCityApp20(99-106).
DOI Link 2012
BibRef

Liang, J., Liu, H., Zhao, Y., Sanjabi, M., Sardari, M., Chaput, H., Aghdaie, N., Zaman, K.,
Building Placements In Urban Modeling Using Conditional Generative Latent Optimization,
ICIP20(3249-3253)
IEEE DOI 2011
Buildings, Training, Generators, Roads, Training data, Urban planning, GAN, conditional GLO, building placement, urban modeling BibRef

Nauata, N.[Nelson], Furukawa, Y.[Yasutaka],
Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Inference,
ECCV20(VIII:711-726).
Springer DOI 2011
BibRef

Antoun, M.[Maya], Asmar, D.C.[Daniel C.], Daher, R.[Rema],
Towards Richer 3D Reference Maps in Urban Scenes,
CRV20(39-45)
IEEE DOI 2006
3D Object Detection, 3D mapping, object-SLAM BibRef

Zhang, J.Y.[Jun-Yi], Chen, Z.L.[Zi-Liang], Huang, J.Y.[Jun-Ying], Lin, L.[Liang], Zhang, D.Y.[Dong-Yu],
Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing,
VisDrone19(9-17)
IEEE DOI 2004
Cityscapes. grammars, image processing, learning (artificial intelligence), statistical analysis, semantic labels, visual structure labels, Scene Parsing BibRef

Corniello, L.,
3D Surveying and 3d Reconstruction of Architecture of The Royal Park Of Tirana,
SMPR19(241-246).
DOI Link 1912
BibRef

Li, N., Pfeifer, N.,
Active Learning to Extend Training Data for Large Area Airborne Lidar Classification,
Laser19(1033-1037).
DOI Link 1912
BibRef

Hairuddin, A., Azri, S., Ujang, U., Cuétara, M.G., Retortillo, G.M., Mohd Salleh, S.,
Development of 3d City Model Using Videogrammetry Technique,
GGT19(221-228).
DOI Link 1912
BibRef

Abdul Rahman, A., Rashidan, H., Musliman, I.A., Buyuksalih, G., Bayburt, S., Baskaraca, P.,
3d Geospatial Database Schema for Istanbul 3d City Model,
GGT19(11-16).
DOI Link 1912
BibRef

Sadeq, H.,
City Modelling Using Geoinformatics: a Case Study of The College Of Engineering Campus, Salahaddin University, Iraq,
PIA19(189-194).
DOI Link 1912
BibRef

Piepereit, R., Beuster, A., von der Gruen, M., Voß, U., Pries, M., Wagner, U.,
Towards Wind-simulation of Virtual 3d City Models in a Collaborative VR Environment,
GeoInfo19(61-66).
DOI Link 1912
BibRef

Zaboli, M., Rastiveis, H., Shams, A., Hosseiny, B., Sarasua, W.A.,
Classification of Mobile Terrestrial Lidar Point Cloud in Urban Area Using Local Descriptors,
SMPR19(1117-1122).
DOI Link 1912
BibRef

Hasanpour, E., Saadatseresht, M., Parmehr, E.G.,
Comparison of Point and Segment Based Point Cloud Classification Method In Urban Scenes,
SMPR19(461-465).
DOI Link 1912
BibRef

Suran, N.A., Shafri, H.Z.M., Shaharum, N.S.N., Radzali, N.A.W.M., Kumar, V.,
UAV-based Hyperspectral Data Analysis for Urban Area Mapping,
GGT19(621-626).
DOI Link 1912
BibRef

Pessoa, G.G., Santos, R.C., Carrilho, A.C., Galo, M., Amorim, A.,
Urban Scene Classification Using Features Extracted From Photogrammetric Point Clouds Acquired by UAV,
UAV-g19(511-518).
DOI Link 1912
BibRef

Tripodi, S., Duan, L., Trastour, F., Poujad, V., Laurore, L., Tarabalka, Y.,
Automated Chain for Large-scale 3d Reconstruction of Urban Scenes From Satellite Images,
PIA19(243-250).
DOI Link 1912
BibRef

Kokla, M., Mostafavi, M.A., Noardo, F., Spanò, A.,
Towards Building a Semantic Formalization of (small) Historical Centres,
GEORES19(675-683).
DOI Link 1912
BibRef

Han, J., Shen, S.,
Distributed Surface Reconstruction from Point Cloud for City-Scale Scenes,
3DV19(338-347)
IEEE DOI 1911
Surface reconstruction, Image reconstruction, Optimization, Merging, Surface treatment, Large scale scenes BibRef

Gros, A., Jacquot, K., Messaoudi, T.,
Knowledge-based Framework for Automatic Semantisation And Reconstruction of Military Architecture On City-scale Models,
3DARCH19(369-375).
DOI Link 1904
BibRef

Parrinello, S., Picchio, F.,
Integration and Comparison of Close-range SFM Methodologies for The Analysis and the Development of the Historical City Center of Bethlehem,
3DARCH19(589-595).
DOI Link 1904
BibRef

Cappelletti, C., Boniardi, M., Casaroli, A., de Gaetani, C.I., Passoni, D., Pinto, L.,
Forensic Engineering Surveys with UAV Photogrammetry and Laser Scanning Techniques,
3DARCH19(227-234).
DOI Link 1904
BibRef

Agnello, F.,
Reconstruction of Urban Sites from Photos,
3DARCH19(1-8).
DOI Link 1904
BibRef

Srinivasan, N., Dellaert, F.,
An Image-Based Approach for 3D Reconstruction of Urban Scenes Using Architectural Symmetries,
3DV18(362-370)
IEEE DOI 1812
cameras, image reconstruction, image representation, image-based approach, 3D reconstruction, urban scenes, Symmetry BibRef

Demir, I., Koperski, K., Lindenbaum, D., Pang, G., Huang, J., Basu, S., Hughes, F., Tuia, D., Raska, R.,
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images,
DeepGlobe18(172-17209)
IEEE DOI 1812
Satellites, Roads, Buildings, Task analysis, Urban areas, Image segmentation BibRef

Bittner, K., Körner, M.,
Automatic Large-Scale 3D Building Shape Refinement Using Conditional Generative Adversarial Networks,
WiCV18(1968-19682)
IEEE DOI 1812
Buildings, Shape, Laser radar, Image segmentation, Remote sensing, Generative adversarial networks BibRef

Forbes, T., Poullis, C.,
Deep Autoencoders with Aggregated Residual Transformations for Urban Reconstruction from Remote Sensing Data,
CRV18(23-30)
IEEE DOI 1812
Semantics, Labeling, Image reconstruction, Network architecture, Buildings, Urban areas, SegNeXT BibRef

Maltezos, E.[Evangelos], Protopapadakis, E.[Eftychios], Doulamis, N.[Nikolaos], Doulamis, A.[Anastasios], Ioannidis, C.C.[Charalabos C.],
Understanding Historical Cityscapes from Aerial Imagery Through Machine Learning,
EuroMed18(I:200-211).
Springer DOI 1811
BibRef

Polic, M.[Michal], Förstner, W.[Wolfgang], Pajdla, T.[Tomas],
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction,
ECCV18(II: 697-712).
Springer DOI 1810
BibRef

Jiang, H.Z.[Huai-Zu], Larsson, G.[Gustav], Maire, M.[Michael], Shakhnarovich, G.[Greg], Learned-Miller, E.G.[Erik G.],
Self-Supervised Relative Depth Learning for Urban Scene Understanding,
ECCV18(XI: 20-37).
Springer DOI 1810
BibRef

Widyaningrum, E., Gorte, B.G.H.,
Challenges And Opportunities: One Stop Processing of Automatic Large-scale Base Map Production Using Airborne Lidar Data Within GIS Environment. Case Study: Makassar City, Indonesia,
Hannover17(365-369).
DOI Link 1805
BibRef

Sisay, Z.G., Besha, T., Gessesse, B.,
Feature Orientation And Positional Accuracy Assessment of Digital Orthophoto And Line Map for Large Scale Mapping: the Case Study On Bahir Dar Town, Ethiopia,
Hannover17(47-53).
DOI Link 1805
BibRef

Bosch, M., Leichtman, A., Chilcott, D., Goldberg, H., Brown, M.,
Metric Evaluation Pipeline for 3D Modeling of Urban Scenes,
Hannover17(239-246).
DOI Link 1805
BibRef

Alizadehashrafi, B., Abdul-Rahman, A.,
Using Affordable Data Capturing Devices for Automatic 3D City Modelling,
GeoAdvances17(9-13).
DOI Link 1805
BibRef

Rodriguez, A.,
Urban Modelling with Typological Approach. Case Study: Merida, Yucatan, Mexico,
CIPA17(617-620).
DOI Link 1805
BibRef

Macher, H., Grussenmeyer, P., Landes, T., Halin, G., Chevrier, C., Huyghe, O.,
Photogrammetric Recording And Reconstruction of Town Scale Models: The Case of the Plan-relief of Strasbourg,
CIPA17(489-495).
DOI Link 1805
BibRef

Scaioni, M., Rosina, E., L'Erario, A., Dìaz-Vilariño, L.,
Integration of Infrared Thermography And Photogrammetric Surveying Of Built Landscape,
GeomCultural17(153-160).
DOI Link 1805
BibRef

Wang, S., Bai, M., Mattyus, G., Chu, H., Luo, W., Yang, B., Liang, J., Cheverie, J., Fidler, S., Urtasun, R.,
TorontoCity: Seeing the World with a Million Eyes,
ICCV17(3028-3036)
IEEE DOI 1802
cartography, geophysical image processing, neural nets, GTA, TorontoCity benchmark, building contour extraction, Semantics BibRef

Cabezas, R., Bláha, M., Zheng, S., Rosman, G., Schindler, K., Fisher, J.W.,
On the Role of Representations for Reasoning in Large-Scale Urban Scenes,
EarthVision17(1514-1523)
IEEE DOI 1709
Cognition, Measurement, Semantics, Sensors, Taxonomy, Uncertainty BibRef

Bency, A.J., Rallapalli, S., Ganti, R.K., Srivatsa, M., Manjunath, B.S.,
Beyond Spatial Auto-Regressive Models: Predicting Housing Prices with Satellite Imagery,
WACV17(320-329)
IEEE DOI 1609
Biological system modeling, Correlation, Data models, Feature extraction, Mathematical model, Satellites, Urban areas. BibRef

Polic, M.[Michal], Pajdla, T.[Tomas],
Uncertainty Computation in Large 3D Reconstruction,
SCIA17(I: 110-121).
Springer DOI 1706
BibRef

Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., Schiele, B.,
The Cityscapes Dataset for Semantic Urban Scene Understanding,
CVPR16(3213-3223)
IEEE DOI
WWW Link.
WWW Link.
WWW Link.
WWW Link. 1612
Dataset, City Models. BibRef

Ros, G., Sellart, L., Materzynska, J., Vazquez, D., Lopez, A.M.,
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes,
CVPR16(3234-3243)
IEEE DOI 1612
Dataset, City Models. BibRef

Suwardhi, D., Trisyanti, S.W., Ainiyah, N., Fajri, M.N., Hanan, H., Virtriana, R., Edmarani, A.A.,
3D Surveying, Modeling and Geo-Information System of the New Campus of ITB-Indonesia,
GeoInfo16(97-105).
DOI Link 1612
BibRef

Filippovska, Y., Wichmann, A., Kada, M.[Martin],
Space Partitioning for Privacy Enabled 3D City Models,
GeoInfo16(17-22).
DOI Link 1612
BibRef

Duan, L.Y.[Liu-Yun], Lafarge, F.[Florent],
Towards Large-Scale City Reconstruction from Satellites,
ECCV16(V: 89-104).
Springer DOI 1611
BibRef

Dubey, A.[Abhimanyu], Naik, N.[Nikhil], Parikh, D.[Devi], Raskar, R.[Ramesh], Hidalgo, C.A.[César A.],
Deep Learning the City: Quantifying Urban Perception at a Global Scale,
ECCV16(I: 196-212).
Springer DOI 1611
BibRef

Hollick, J., Helmholz, P., Belton, D.,
Incorporation Of Unreliable Information Into Photogrammetric Reconstruction For Recovery Of Scale Using Non-parametric Belief Propagation,
ISPRS16(B5: 653-658).
DOI Link 1610
BibRef

Chiabrando, F., di Pietra, V., Lingua, A., Maschio, P., Noardo, F., Sammartano, G., Spanò, A.,
Tls Models Generation Assisted By UAV Survey,
ISPRS16(B5: 413-420).
DOI Link 1610
BibRef

Roschlaub, R., Batscheider, J.,
An Inspire-konform 3d Building Model Of Bavaria Using Cadastre Information, Lidar And Image Matching,
ISPRS16(B4: 747-754).
DOI Link 1610
Isprs: Iaa BibRef

Bechtel, B., Pesaresi, M., See, L., Mills, G., Ching, J., Alexander, P.J., Feddema, J.J., Florczyk, A.J., Stewart, I.,
Towards Consistent Mapping Of Urban Structures: Global Human Settlement Layer And Local Climate Zones,
ISPRS16(B8: 1371-1378).
DOI Link 1610
BibRef

Esch, T., Asamer, H., Boettcher, M., Brito, F., Hirner, A., Marconcini, M., Mathot, E., Metz, A., Permana, H., Soukop, T., Stanek, F., Kuchar, S., Zeidler, J., Balhar, J.,
Earth Observation-supported Service Platform For The Development And Provision Of Thematic Information On The Built Environment: The Tep-urban Project,
ISPRS16(B8: 1379-1384).
DOI Link 1610
BibRef

Zhang, S.[Shenman], Shan, J.[Jie], Zhang, Z.C.[Zhi-Chao], Yan, J.X.[Ji-Xing], Hou, Y.L.[Yao-Lin],
Integrating Smartphone Images And Airborne Lidar Data For Complete Urban Building Modelling,
ISPRS16(B5: 741-747).
DOI Link 1610
BibRef

Balsa-Barreiro, J.[José], Fritsch, D.[Dieter],
Generation of 3D/4D Photorealistic Building Models. The Testbed Area for 4D Cultural Heritage World Project: The Historical Center of Calw (Germany),
ISVC15(I: 361-372).
Springer DOI 1601
BibRef

Martinovic, A.[Andelo], Knopp, J.[Jan], Riemenschneider, H.[Hayko], Van Gool, L.J.[Luc J.],
3D all the way: Semantic segmentation of urban scenes from start to end in 3D,
CVPR15(4456-4465)
IEEE DOI 1510
BibRef

Michaelsen, E., Gabler, R., Scherer-Negenborn, N.,
Towards Understanding Urban Patterns and Structures,
PIA15(135-140).
DOI Link 1504
BibRef

Valencia, J., Muñoz-Nieto, A., Rodríguez-Gonzálvez, P.,
State-of-the Art and Virtual Modeling for Cities of the Future,
3D-Arch15(179-185).
DOI Link 1504
BibRef

Despine, G., Colleu, T.,
Adaptive Texture Synthesis for Large Scale City Modeling,
3D-Arch15(155-162).
DOI Link 1504
BibRef

Kersten, T., Mechelke, K., Maziull, L.,
3D Model of Al Zubarah Fortress in Qatar: Terrestrial Laser Scanning vs. Dense Image Matching,
3D-Arch15(1-8).
DOI Link 1504
BibRef

Thomas, D.[Diego], Sugimoto, A.[Akihiro],
A Two-Stage Strategy for Real-Time Dense 3D Reconstruction of Large-Scale Scenes,
CDC4CV14(428-442).
Springer DOI 1504
BibRef

Seki, A.[Akihito], Woodford, O.J.[Oliver J.], Ito, S.[Satoshi], Stenger, B.[Bjorn], Hatakeyama, M.[Makoto], Shimamura, J.[Junichi],
Reconstructing Fukushima: A Case Study,
3DV14(681-688)
IEEE DOI 1503
Cameras BibRef

Demir, I.[Ilke], Aliaga, D.G.[Daniel G.], Benes, B.[Bedrich],
Proceduralization for Editing 3D Architectural Models,
3DV16(194-202)
IEEE DOI 1701
BibRef
Earlier:
Procedural Editing of 3D Building Point Clouds,
ICCV15(2147-2155)
IEEE DOI 1602
BibRef
Earlier:
Proceduralization of Buildings at City Scale,
3DV14(456-463)
IEEE DOI 1503
architecture. Buildings BibRef

Golbert, A.[Avram], Arnon, D.[David], Sever, A.[Aviv],
Piecewise Planar and Non-Planar Segmentation of Large Complex 3D Urban Models,
3DV14(99-106)
IEEE DOI 1503
Image edge detection BibRef

Troiano, D.[Duccio], Morro, A.G.[Andrés García], Merlo, A.[Alessandro], Vidal, E.V.[Eduardo Vendrell],
From a Model of a City to an Urban Information System: The SIUR 3D of the Castle of Pietrabuona,
EuroMed14(121-130).
Springer DOI 1412
BibRef

Singh, S.P., Jain, K., Mandla, V.R.,
Image based 3D city modeling: Comparative study,
CloseRange14(537-546).
DOI Link 1411
BibRef

Liu, J., Guo, B.,
Reconstruction and simplification of urban scene models based on oblique images,
PCV14(197-204).
DOI Link 1404
BibRef

Cao, Y.P.[Yan-Pei], Liu, Z.N.[Zheng-Ning], Kuang, Z.F.[Zheng-Fei], Kobbelt, L.[Leif], Hu, S.M.[Shi-Min],
Learning to Reconstruct High-Quality 3D Shapes with Cascaded Fully Convolutional Networks,
ECCV18(IX: 626-643).
Springer DOI 1810
BibRef

Untzelmann, O., Sattler, T., Middelberg, S., Kobbelt, L.,
A Scalable Collaborative Online System for City Reconstruction,
BD3DCV13(644-651)
IEEE DOI 1403
Global Positioning System BibRef

Michelin, J.C., Tierny, J., Tupin, F., Mallet, C., Paparoditis, N.,
Quality evaluation of 3D city building Models with automatic error diagnosis,
SSG13(161-166).
DOI Link 1402
BibRef

Singh, S.P., Jain, K., Mandla, V.R.,
Virtual 3D City Modeling: Techniques and Applications,
GeoInfo13(73-91).
DOI Link 1402
BibRef

Gruen, A., Huang, X., Qin, R., Du, T., Fang, W., Boavida, J., Oliveira, A.,
Joint Processing of UAV Imagery and Terrestrial Mobile Mapping System Data for Very High Resolution City Modeling,
UAV-g13(175-182).
DOI Link 1311
BibRef

Rohith, M.V., Rhein, S.[Stephen], Lu, G.Y.[Guo-Yu], Sorensen, S.[Scott], Mahoney, A.R.[Andrew R.], Eicken, H.[Hajo], Ray, G.C.[G. Carleton], Kambhamettu, C.[Chandra],
Iterative Reconstruction of Large Scenes Using Heterogeneous Feature Tracking,
BDCV13(407-412)
IEEE DOI 1309
3D reconstruction; Feature tracking; Structure from motion BibRef

Kuschk, G., Cremers, D.,
Fast and Accurate Large-Scale Stereo Reconstruction Using Variational Methods,
BD3DCV13(700-707)
IEEE DOI 1403
image reconstruction BibRef

Kuschk, G.,
Large Scale Urban Reconstruction from Remote Sensing Imagery,
3DARCH13(139-146).
DOI Link 1308
BibRef

Gojamanov, M., Ismayilov, J.,
Using Satellite Images for Wireless Network Planing in Baku City,
Hannover13(117-120).
DOI Link 1308
BibRef

Frahm, J.M.[Jan-Michael], Fite-Georgel, P.[Pierre], Gallup, D.[David], Johnson, T.[Tim], Raguram, R.[Rahul], Wu, C.C.[Chang-Chang], Jen, Y.H.[Yi-Hung], Dunn, E.[Enrique], Clipp, B.[Brian], Lazebnik, S.[Svetlana], Pollefeys, M.[Marc],
Building Rome on a Cloudless Day,
ECCV10(IV: 368-381).
Springer DOI 0109
Dense 3D from unregistered internet-scale collections (3 meg). Image clustering, stereo, stereo fusion, structure from motion.
See also Efficient Generation of Multi-perspective Panoramas. BibRef

Papadopoulos, S.[Symeon], Zigkolis, C.[Christos], Kapiris, S.[Stefanos], Kompatsiaris, Y.F.[Yi-Fannis], Vakali, A.[Athena],
City exploration by use of spatio-temporal analysis and clustering of user contributed photos,
ICMR11(65).
DOI Link 1301
online city exploration application that helps users identify interesting spots BibRef

Wessel, R.[Raoul], Klein, R.[Reinhard],
Learning The Compositional Structure Of Man-Made Objects For 3d Shape Retrieval,
EG3DOR10(39-46)
DOI Link 1301
BibRef

Wessel, R.[Raoul], Blümel, I.[Ina], Klein, R.[Reinhard],
A 3d Shape Benchmark For Retrieval And Automatic Classification Of Architectural Data,
3DOR09(53-56)
DOI Link 1301
BibRef

Kushal, A.[Avanish], Self, B.[Ben], Furukawa, Y.[Yasutaka], Gallup, D.[David], Hernandez, C.[Carlos], Curless, B.[Brian], Seitz, S.M.[Steven M.],
Photo Tours,
3DIMPVT12(57-64).
IEEE DOI 1212
BibRef

Garg, R.[Rahul], Seitz, S.M.[Steven M.],
Dynamic Mosaics,
3DIMPVT12(65-72).
IEEE DOI 1212
BibRef

Brilakis, I.[Ioannis], Dai, F.[Fei], Radopoulou, S.C.[Stefania-Christina],
Achievements and Challenges in Recognizing and Reconstructing Civil Infrastructure,
WTFCV11(151-176).
Springer DOI 1210
BibRef

Wang, Z.,
True 3D Images and Their Applications,
ISPRS12(XXXIX-B4:209-211).
DOI Link 1209
True georeference, color and actual 3D ground. BibRef

Mahapatra, A., Pandey, S., Sudheer Reddy, D., Subramanyam, P.S., Das, B.K., Radhadevi, P.V., Saibaba, J., Varadan, G.,
A Semiautomatic Approach for Generation of Site Models From Cartosat-2 Multiview Images,
ISPRS12(XXXIX-B3:297-302).
DOI Link 1209
BibRef

Oniga, E.,
Comparative Study on Methods for 3D Modelling of Urban Areas,
ISPRS12(XXXIX-B6:155-160).
DOI Link 1209
BibRef

Kaden, R., König, G., Malchow, C., Kolbe, T.H.,
E-learning Applications for Urban Modelling and OGC Standards Using Html5 Capabilities,
ISPRS12(XXXIX-B6:19-24).
DOI Link 1209
BibRef

Pettit, C., Widjaja, I., Russo, P., Sinnott, R., Stimson, R., Tomko, M.,
Visualisation Support For Exploring Urban Space And Place,
AnnalsPRS(I-2), No. 2012, pp. 153-158.
DOI Link 1209
BibRef

Lesparre, J., Gorte, B.G.H.,
Simplified 3d City Models From Lidar,
ISPRS12(XXXIX-B2:1-4).
DOI Link 1209
BibRef

Ruan, W.,
Reliable and Practical City Map generation at 1:1000 or 1:500 scale based on 'five control points' recification of digitized images,
ISPRS12(XXXIX-B4:159-163).
DOI Link 1209
BibRef

Kaden, R., Kolbe, T.H.,
Augmenting 3d City Model Components By Geodata Joins To Facilitate Ad-hoc Geometric-topologically Sound Integration,
AnnalsPRS(I-4), No. 2012, pp. 215-220.
DOI Link 1209
BibRef

Sirmacek, B., Taubenboeck, H., Reinartz, P.,
A Novel 3d City Modelling Approach For Satellite Stereo Data Using 3d Active Shape Models On Dsms,
ISPRS12(XXXIX-B3:325-330).
DOI Link 1209
BibRef

Sirmacek, B., Arefi, H., Krauss, T.,
Performance Assessment Of Fully Automatic Three-dimensional City Model Reconstruction Methods,
ISPRS12(XXXIX-B3:331-337).
DOI Link 1209
BibRef

Krüger, A., Kolbe, T.H.,
Building Analysis For Urban Energy Planning Using Key Indicators On Virtual 3d City Models: The Energy Atlas Of Berlin,
ISPRS12(XXXIX-B2:145-150).
DOI Link 1209
BibRef

Stoter, J., Ledoux, H., Meijers, M., Arroyo Ohori, K.,
Integrating Scale and Space in 3D City Models,
GeoInfo12(7-10).
DOI Link 1208
BibRef

Corral-Soto, E.R.[Eduardo R.], Tal, R.[Ron], Wang, L.Y.[Lang-Yue], Persad, R.[Ravi], Chao, L.[Luo], Solomon, C.[Chan], Hou, B.[Bob], Sohn, G.[Gunho], Elder, J.H.[James H.],
3D Town: The Automatic Urban Awareness Project,
CRV12(433-440).
IEEE DOI 1207
BibRef

Arsanjani, J.J., Kainz, W., Azadbakht, M.,
Monitoring and Spatially Explicit Simulation of Land Use Dynamics: From Cellular Automata to Geosimulation: A Case Study of Tehran, Iran,
ISIDF11(1-4).
IEEE DOI 1111
BibRef

Roupé, M.[Mattias], Johansson, M.[Mikael],
3D-City Modeling: A Semi-automatic Framework for Integrating Different Terrain Models,
ISVC11(II: 725-734).
Springer DOI 1109
BibRef

Schwing, A.[Alexander], Hazan, T.[Tamir], Pollefeys, M.[Marc], Urtasun, R.[Raquel],
Distributed message passing for large scale graphical models,
CVPR11(1833-1840).
IEEE DOI 1106
BibRef

Huck, A., Hese, S., Banzhaf, E.,
Delineating parameters for object-based urban structure mapping in Santiago de Chile using Quickbird data,
HighRes11(xx-yy).
PDF File. 1106
BibRef

Borgherini, M., Garbin, E.,
MIC: My Ideal City,
3DARCH11(xx-yy).
PDF File. 1103
BibRef

Fiamma, P.,
Architectural Large Constructed Environment. Modeling And Interaction Using Dynamic Simulations,
3DARCH11(xx-yy).
PDF File. 1103
BibRef

Toshev, A.[Alexander], Mordohai, P.[Philippos], Taskar, B.[Ben],
Detecting and parsing architecture at city scale from range data,
CVPR10(398-405).
IEEE DOI 1006
BibRef

Conforti, D.[Dario], Zampa, F.[Federica],
Lynx Mobile Mapper For Surveying City Centers And Highways,
3DARCH11(xx-yy).
PDF File. 1103
BibRef

Conforti, D.[Dario], Zampa, F.[Federica], Pantovic, T.[Tatijana],
Lynx mobile mapper: the new survey technology,
CGC10(85).
PDF File. 1006
BibRef

Zampa, F.[Federica],
Lynx survey of the urban environment and historical heritage,
3DARCH09(xx-yy).
PDF File. 0902
BibRef

Moser, S., Wahl, R., Klein, R.,
Out-Of-Core topologically constrained simplification for city modeling from Digital Surface Models,
3DARCH09(xx-yy).
PDF File. 0902
BibRef

Hohmann, B., Krispel, U., Havemann, S., Fellner, D.,
CityFit: High-quality urban reconstructions by fitting shape grammars to images and derived textured point clouds,
3DARCH09(xx-yy).
PDF File. 0902
BibRef

Lin, H., Jing, H.T., Zhang, L.P.,
Fast Reconstruction of Three Dimensional City Model Based on Airborne LIDAR,
ISPRS08(B1: 453 ff).
PDF File. 0807
BibRef

Wang, X.P.[Xiao-Peng], Kang, G.F.[Gao-Feng], Huo, X.B.[Xiao-Bin],
System Implementation of 3D City Simulation and Planning Aided Design-Taking Yinchuan City of Ningxia Hui Autonomous Region as an Example,
ISPRS08(B5: 677 ff).
PDF File. 0807
BibRef

Kaartinen, H., Hyyppä, J., Gülch, E., Vosselman, G., Hyyppä, H., Matikainen, L., Hofmann, A.D., Mäder, U., Persson, Å., Söderman, U., Elmqvist, M., Ruiz, A., Dragoja, M., Flamanc, D., Maillet, G., Kersten, T.P., Carl, J., Hau, R., Wild, E., Frederiksen, L., Holmgaard, J., Vester, K.,
Accuracy of 3D city models: EuroSDR comparison,
Laser05(xx-yy).
PDF File. 0509
BibRef

Tsay, J.R.[Jaan-Rong],
A Concept and Algorithm for 3D City Surface Modeling,
PCV02(B: 283). 0305
BibRef

Visintini, D.[Domenico],
Integrated Techniques for Low-Cost Surveying of Urban Areas,
PCV02(B: 287). 0305
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Terrain Extraction, DEM, DTM, DSM .


Last update:Mar 16, 2024 at 20:36:19