23.3.15 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
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Haala, N., and Hahn, M.,
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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
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Haala, N.[Norbert], Böhm, J.[Jan],
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Earlier: Ascona97(213-222). BibRef

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Haala, N.[Norbert], Brenner, C.[Claus],
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Haala, N.[Norbert], Kada, M.[Martin],
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Elsevier DOI 1101
Reconstruction; Three-dimensional; Building; Urban; Automation BibRef

Brenner, C., Haala, N., Fritsch, D.[Diter],
Towards Fully Automated 3D City Model Generation,
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Brenner, C.,
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Böhm, J., Haala, N.,
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Grejner-Brzezinska, D.A.[Dorota A.], Li, R.[Ron], Haala, N.[Norbert], Toth, C.K.[Charles K.],
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Kada, M.[Martin], McKinley, L.,
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Haala, N.[Norbert], Becker, S.[Susanne], Kada, M.[Martin],
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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.,
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Poullis, C.[Charalambos], You, S.[Suya],
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IEEE DOI 0905
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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
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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
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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).
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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
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Agarwal, S.[Sameer], Furukawa, Y.[Yasutaka], Snavely, N.[Noah], Curless, B.[Brian], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Reconstructing Rome,
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IEEE DOI 1007
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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.],
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CACM(54), No. 10, October 2011, pp. 105-112.
DOI Link 1110
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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
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Guo, L.[Li], Chehata, N.[Nesrine], Mallet, C.[Clement], Boukir, S.[Samia],
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Elsevier DOI 1101
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Earlier: A1, A2, A4, Only:
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Zhao, J.Q.[Jun-Qiao], Zhu, Q.[Qing], Du, Z.Q.[Zhi-Qiang], Feng, T.T.[Tian-Tian], Zhang, Y.T.[Ye-Ting],
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PandRS(68), No. 1, March 2012, pp. 95-111.
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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],
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Semmo, A.[Amir], Hildebrandt, D.[Dieter], Trapp, M.[Matthias], Döllner, J.[Jürgen],
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Römer, C.[Christoph], Plümer, L.[Lutz],
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PFG(2010), No. 5, 2010, pp. 371-384.
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Byelozyorov, S.[Sergiy], Jochem, R.[Rainer], Pegoraro, V.[Vincent], Slusallek, P.[Philipp],
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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,
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Snavely, N.[Noah],
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Sargent, I.[Isabel], Holland, D.[David], Harding, J.[Jenny],
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Sakurada, K.[Ken], Okatani, T.[Takayuki], Kitani, K.M.[Kris M.],
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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,
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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,
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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],
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Tutzauer, P.[Patrick], Becker, S.[Susanne], Fritsch, D.[Dieter], Niese, T.[Till], Deussen, O.[Oliver],
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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],
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Elsevier DOI 1704
Photogrammetric computer vision BibRef

Tateno, K.[Keisuke], Tombari, F.[Federico], Navab, N.[Nassir],
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Elsevier DOI 1704
Dense SLAM BibRef

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Zhu, J.[Jie], Sun, Y.Z.[Yi-Zhong],
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Gao, X.[Xiang], Hu, L.H.[Li-Hua], Cui, H.N.[Hai-Nan], Shen, S.H.[Shu-Han], Hu, Z.Y.[Zhan-Yi],
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Liang, L.[Lei], Li, X.[Xinwu], Ferro-Famil, L.[Laurent], Guo, H.D.[Hua-Dong], Zhang, L.[Lu], Wu, W.J.[Wen-Jin],
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Buildings, Feature extraction, Image reconstruction, Semantics, Shape, Solid modeling, Classification, reconstruction BibRef

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ReLu-NN, Point cloud parsing, Building reconstruction BibRef

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IEEE DOI 1902
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TUM-MLS-2016: An Annotated Mobile LiDAR Dataset of the TUM City Campus for Semantic Point Cloud Interpretation in Urban Areas,
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Yang, N.[Naisen], Tang, H.[Hong],
GeoBoost: An Incremental Deep Learning Approach toward Global Mapping of Buildings from VHR Remote Sensing Images,
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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.
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Towards a Large-Scale 3D Modeling of the Built Environment: Joint Analysis of TanDEM-X, Sentinel-2 and Open Street Map Data,
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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.
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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,
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DOI Link 2009
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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
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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
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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,
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DOI Link 2103
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Zhao, L.[Li], Liu, Y.[Yongmei], Men, C.[Chaoguang], 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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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