24.3 Building Extraction, Analysis and Detection Systems, Multi-View

ISPRS benchmark on urban object detection and 3D building reconstruction,
2013
HTML Version. Dataset, Building Detection. Provide state-of-the-art data sets which can be used by interested researchers in order to test own methods and algorithms on urban object classification and building reconstruction.

Spreeuwers, L.J., Schutte, K., Houkes, Z.,
A Model Driven Approach to Extract Buildings from Multi-View Aerial Imagery,
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Spreeuwers, L.J., Schutte, K., Houkes, Z.,
Model-Based Recognition and Parameter Estimation of Buildings from Multi-View Aerial Imagery Using Multi-Segmentation,
IAPRS(32), Part 3-4W2, September 1997, pp. 169-174. 3D Reconstruction and Modeling of Topographic Objects, Stuttgart.
PS File. BibRef 9709

Shi, Z., Shibasaki, R., Murai, S.,
Automated Building Extraction from Digital Stereo Imagery,
Ascona97(119-128). BibRef 9700

Wiman, H.,
Least Squares Matching for Three Dimensional Building Reconstruction,
Ascona97(223-232). BibRef 9700

Brunn, A., Gülch, E., Lang, F., Förstner, W.,
A Hybrid Concept for 3D Building Acquisition,
PandRS(53), No. 2, April 1998, pp. 119-129.
HTML Version. 9805
BibRef

Cord, M., Declercq, D.,
Three-dimensional building detection and modeling using a statistical approach,
IP(10), No. 5, May 2001, pp. 715-723.
IEEE DOI 0105
BibRef

Cord, M.[Matthieu],
Bayesian Model Identification: Application to Building Reconstruction in Aerial Imagery,
ICIP99(III:140-144).
IEEE DOI BibRef 9900

Fischer, A.[Andre], Kolbe, T.H.[Thomas H.], Lang, F.[Felicitas], Cremers, A.B.[Armin B.], Förstner, W.[Wolfgang], Pluemer, L.[Lutz], Steinhage, V.[Volker],
Extracting Buildings from Aerial Images Using Hierarchical Aggregation in 2D and 3D,
CVIU(72), No. 2, November 1998, pp. 185-203.
DOI Link
HTML Version. BibRef 9811

Behley, J.[Jens], Steinhage, V.[Volker],
Generation of 3D City Models Using Domain-Specific Information Fusion,
CVS09(164-173).
Springer DOI 0910
BibRef

Faugeras, O.D.[Olivier D.], Robert, L.[Luc], Laveau, S.[Stephane], Csurka, G.[Gabriella], Zeller, C.[Cyril], Gauclin, C.[Cyrille], Zoghlami, I.[Imad],
3-D Reconstruction of Urban Scenes from Image Sequences,
CVIU(69), No. 3, March 1998, pp. 292-309.
DOI Link BibRef 9803

Faugeras, O.D., Laveau, S., Robert, L., Csurka, G., and Zeller, C.,
3-D Reconstructions of Urban Scenes from Sequence of Images,
Ascona95(145-168). BibRef 9500
And: INRIA-2572, June 1995. Integrate the results from multiple views, generate models of the houses.
HTML Version. BibRef

Mayer, H.[Helmut],
Automatic Object Extraction from Aerial Imagery: A Survey Focusing on Buildings,
CVIU(74), No. 2, May 1999, pp. 138-149.
DOI Link Survey, Buildings. BibRef 9905

Mayer, H.[Helmut],
Object extraction in photogrammetric computer vision,
PandRS(63), No. 2, March 2008, pp. 213-222.
Elsevier DOI 0803
Automatic object extraction; Digital photogrammetry; Semi-automation; Modeling; Statistics; Testing BibRef

Teller, S.[Seth], Antone, M.[Matthew], Bodnar, Z.[Zachary], Bosse, M.[Michael], Coorg, S.[Satyan], Jethwa, M.[Manish], Master, N.[Neel],
Calibrated, Registered Images of an Extended Urban Area,
IJCV(53), No. 1, June 2003, pp. 93-107.
DOI Link 0304
Dataset, Buildings. BibRef
Earlier: CVPR01(I:813-820).
IEEE DOI 0110
More the dataset than how to analyze the data.
WWW Link.
See also Spherical Mosaics with Quaternions and Dense Correlation. BibRef

Coorg, S.[Satyan], Master, N.[Neel], Teller, S.[Seth],
Acquisition of a Large Pose-Mosaic Dataset,
CVPR98(872-878).
IEEE DOI Multiple ground level views to get building descriptions. BibRef 9800

Coorg, S.[Satyan],
Pose Imagery and Automated Three-Dimensional Modeling of Urban Environments,
Ph.D.Thesis, Massachusetts Institute of Technology, 1998.
PDF File. BibRef 9800

Teller, S.[Seth],
Automatic Acquisition of Hierarchical, Textured 3D Geometric Models of Urban Environments: Project Plan,
DARPA97(767-770). BibRef 9700

Teller, S.[Seth],
Automated Urban Model Acquisition: Project Rationale and Status,
DARPA98(455-462). BibRef 9800

Chou, G.T.[George T.], Teller, S.[Seth],
Multi-Image Correspondence Using Geometric and Structural Constraints,
DARPA97(869-874). BibRef 9700

Coorg, S.[Satyan], Teller, S.[Seth],
Matching and Pose Refinement with Camera Pose Estimates,
DARPA97(857-862). BibRef 9700

Dick, A.R., Torr, P.H.S., Cipolla, R.,
Modelling and Interpretation of Architecture from Several Images,
IJCV(60), No. 2, November 2004, pp. 111-134.
DOI Link 0406
BibRef
Earlier:
A Bayesian Estimation of Building Shape Using MCMC,
ECCV02(II: 852 ff.).
Springer DOI 0205
BibRef
Earlier:
Automatic 3D Modelling of Architecture,
BMVC00(xx-yy).
PDF File. 0009
SfMotion assuming buildings (i.e. straight orthogonal lines). BibRef

Dick, A.R., Cipolla, R.,
Model refinement from planar parallax,
BMVC99(Multi-View Techniques).
PDF File. BibRef 9900

Samadzadegan, F.[Farhad], Azizi, A.[Ali], Hahn, M.[Michael], Lucas, C.[Curo],
Automatic 3D object recognition and reconstruction based on neuro-fuzzy modelling,
PandRS(59), No. 5, August 2005, pp. 255-277.
Elsevier DOI 0509
Buildings, cars and trees from color images. BibRef

Ramzi, P., Samadzadegan, F.[Farhad],
Complex Scene Analysis in Urban Areas Based on an Ensemble Clustering Method Applied on Lidar Data,
CMRT09(59-64).
PDF File. 0909
BibRef

Lin, H.Y.[Huei-Yung], Chen, S.L.[Syuan-Liang], Lin, J.H.[Jen-Hung],
Architectural Scene Reconstruction from Single or Multiple Uncalibrated Images,
ELCVIA(5), No. 4, December 2006, pp. 75-82.
DOI Link 0703
BibRef

Liu, Y.[Yong], Wu, C.K.[Cheng-Ke], Tsui, H.T.[Hung-Tat],
A Practical Approach For 3d Building Modeling From Uncalibrated Video Sequences,
IJIG(2), No. 2, April 2002, pp. 287-307. 0204
BibRef

Colleu, T., Pateux, S., Morin, L., Labit, C.,
A polygon soup representation for multiview coding,
JVCIR(21), No. 5-6, July-August 2010, pp. 561-576.
Elsevier DOI 1007
3D video; Multiview video plus depth; Polygon soup; Quadtree; Multiview coding; View synthesis; Redundancy simplification; Ghosting artifact BibRef

Colleu, T., Morin, L., Labit, C., Pateux, S., Balter, R.,
Compact quad-based representation for 3D video,
3DTV09(1-4).
IEEE DOI 0905
BibRef

Colleu, T., Sourimant, G., Morin, L.,
Automatic Initialization for the Registration of GIS and Video Data,
3DTV08(49-52).
IEEE DOI 0805
BibRef

Sourimant, G., Morin, L., Bouatouch, K.,
GPS, GIS and Video Registration for Building Reconstruction,
ICIP07(VI: 401-404).
IEEE DOI 0709
BibRef

Jwa, Y.[Yoonseok], Sohn, G.[Gunho],
An incremental regularization of 3d building models for continuous building database update,
CGC10(186).
PDF File. 1006
BibRef

Koehl, M., Vimle, A.,
Acquisition, Modeling And GIS Integration Of A 3d Model Of The Frame Of Xvith Century Historic Building,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Dehbi, Y.[Youness], Plümer, L.[Lutz],
Learning grammar rules of building parts from precise models and noisy observations,
PandRS(66), No. 2, March 2011, pp. 166-176.
Elsevier DOI 1103
Inductive logic programming; Attribute grammar; 3D model; Uncertain projective geometry; Probability distributions BibRef

Dehbi, Y.[Youness], Schmittwilken, J.[Jörg], Plümer, L.[Lutz],
Learning semantic models and grammar rules of building parts,
CityModels09(xx-yy).
PDF File. 0912
BibRef

Loch-Dehbi, S.[Sandra], Plümer, L.[Lutz],
Automatic reasoning for geometric constraints in 3D city models with uncertain observations,
PandRS(66), No. 2, March 2011, pp. 177-187.
Elsevier DOI 1103
BibRef
Earlier:
Geometric reasoning in 3D building models using multivariate polynomials and characteristic sets,
CityModels09(xx-yy).
PDF File. 0912
Geometric reasoning; Statistical testing theory; Constraint-based modelling; 3D city models; Automatic theorem proving BibRef

Boguslawski, P.[Pawel], Gold, C.M.[Christopher M.], Ledoux, H.[Hugo],
Modelling and analysing 3D buildings with a primal/dual data structure,
PandRS(66), No. 2, March 2011, pp. 188-197.
Elsevier DOI 1103
3D modelling; Data structures; Building management; Disaster management; CAD BibRef

Boguslawski, P.[Pawel], Gold, C.M.[Christopher M.],
The Dual Half-Edge: A Topological Primal/Dual Data Structure and Construction Operators for Modelling and Manipulating Cell Complexes,
IJGI(5), No. 2, 2016, pp. 19.
DOI Link 1603
BibRef

Gupta, G.[Gaurav], Rawat, M.S., Balasubramanian, R., Bhargava, R.[Rama], Krishna, B.G.,
Region growing stereo matching method for 3D building reconstruction,
IJCVR(2), No. 1, 2011, pp. 89-98.
DOI Link 1104
BibRef

Meixner, P., Leberl, F.,
3-Dimensional Building Details from Aerial Photography for Internet Maps,
RS(3), No. 4, April 2011, pp. 721-751.
DOI Link 1203
BibRef

Tarantino, E., Figorito, B.,
Extracting Buildings from True Color Stereo Aerial Images Using a Decision Making Strategy,
RS(3), No. 8, August 2011, pp. 1553-1567.
DOI Link 1203

See also Mapping Rural Areas with Widespread Plastic Covered Vineyards Using True Color Aerial Data. BibRef

Tsai, Y., Stow, D., Weeks, J.,
Comparison of Object-Based Image Analysis Approaches to Mapping New Buildings in Accra, Ghana Using Multi-Temporal QuickBird Satellite Imagery,
RS(3), No. 12, December 2011, pp. 2707-2726.
DOI Link 1203
BibRef

Zhang, M.[Man], Zhang, L.Q.[Li-Qiang], Mathiopoulos, P.T.[P. Takis], Xie, W.Q.[Wen-Qing], Ding, Y.[Yusi], Wang, H.[Hao],
A geometry and texture coupled flexible generalization of urban building models,
PandRS(70), No. 1, June 2012, pp. 1-14.
Elsevier DOI 1206
Urban buildings; FEdge; Clustering; Generalization; EBT BibRef

Zhang, M.[Man], Zhang, L.Q.[Li-Qiang], Mathiopoulos, P.T.[P. Takis], Ding, Y.[Yusi], Wang, H.[Hao],
Perception-based shape retrieval for 3D building models,
PandRS(75), No. 1, January 2013, pp. 76-91.
Elsevier DOI 1301
3D building model; Shape matching; Perception; Retrieval BibRef

El-Mekawy, M.[Mohamed], Östman, A.[Anders], Hijazi, I.[Ihab],
A Unified Building Model for 3D Urban GIS,
IJGI(1), No. 2, September 2012, pp. 120-145.
DOI Link 1208
BibRef

Bechtel, B.[Benjamin],
Multisensorale Fernerkundungsdaten zur mikroklimatischen Beschreibung und Klassifikation urbaner Strukturen,
PFG(2011), No. 5, 2011, pp. 325-338.
WWW Link. 1211
BibRef

Zhu, C.[Chen], Leow, W.K.[Wee Kheng],
Textured mesh surface reconstruction of large buildings with multi-view stereo,
VC(29), No. 6-8, June 2013, pp. 609-615.
WWW Link. 1306
BibRef

Meinel, G.[Gotthard], Burckhardt, M.[Manuel],
The Digital Basic Geodata Sets Hausumringe and Hauskoordinaten: Characterization and Pre-processing for Building Stock Analysis,
PFG(2013), No. 6, 2013, pp. 575-588.
DOI Link 1312
Dataset, Buildings. BibRef

Friman, O., Follo, P., Ahlberg, J., Sjokvist, S.,
Methods for Large-Scale Monitoring of District Heating Systems Using Airborne Thermography,
GeoRS(52), No. 8, August 2014, pp. 5175-5182.
IEEE DOI 1403
Buildings BibRef

Serna, A.[Andrés], Marcotegui, B.[Beatriz],
Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning,
PandRS(93), No. 1, 2014, pp. 243-255.
Elsevier DOI 1407
3D urban analysis BibRef

Rottensteiner, F.[Franz], Sohn, G.[Gunho], Gerke, M.[Markus], Wegner, J.D.[Jan Dirk], Breitkopf, U.[Uwe], Jung, J.W.[Jae-Wook],
Results of the ISPRS benchmark on urban object detection and 3D building reconstruction,
PandRS(93), No. 1, 2014, pp. 256-271.
Elsevier DOI 1407
Automatic object extraction BibRef

Geiß, C.[Christian], Pelizari, P.A.[Patrick Aravena], Marconcini, M.[Mattia], Sengara, W.[Wayan], Edwards, M.[Mark], Lakes, T.[Tobia], Taubenböck, H.[Hannes],
Estimation of seismic building structural types using multi-sensor remote sensing and machine learning techniques,
PandRS(104), No. 1, 2015, pp. 175-188.
Elsevier DOI 1505
Seismic building structural types. Earthquake risk models. BibRef

Manno-Kovacs, A.[Andrea], Sziranyi, T.[Tamas],
Orientation-selective building detection in aerial images,
PandRS(108), No. 1, 2015, pp. 94-112.
Elsevier DOI 1511
BibRef
Earlier:
Multidirectional Building Detection in Aerial Images without Shape Templates,
Hannover13(227-232).
DOI Link 1308
Orientation selectivity BibRef

Gadal, S., Ouerghemmi, W.,
Morpho-Spectral Recognition of Dense Urban Objects by Hyperspectral Imagery,
GeoHyper15(433-438).
DOI Link 1602
BibRef

Meidow, J.[Jochen], Hammer, H.[Horst],
Algebraic reasoning for the enhancement of data-driven building reconstructions,
PandRS(114), No. 1, 2016, pp. 179-190.
Elsevier DOI 1604
3D building models BibRef

Meidow, J., Schuster, H.F.,
Voxel-Based Quality Evaluation of Photogrammetric Building Acquisitions,
CMRT05(xx-yy).
PDF File. 0508
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Biljecki, F.[Filip], Ledoux, H.[Hugo], Stoter, J.[Jantien], Vosselman, G.[George],
The variants of an LOD of a 3D building model and their influence on spatial analyses,
PandRS(116), No. 1, 2016, pp. 42-54.
Elsevier DOI 1604
Geometric reference BibRef

Jesus, D.[Diego], Coelho, A.[António], Sousa, A.A.[António Augusto],
Layered shape grammars for procedural modelling of buildings,
VC(32), No. 6-8, June 2016, pp. 933-943.
WWW Link. 1608
BibRef

Du, S.H.[Shi-Hong], Luo, L.Q.[Li-Qun], Cao, K.[Kai], Shu, M.[Mi],
Extracting building patterns with multilevel graph partition and building grouping,
PandRS(122), No. 1, 2016, pp. 81-96.
Elsevier DOI 1612
Building patterns BibRef

Törnros, T.[Tobias], Resch, B.[Bernd], Rupp, M.[Matthias], Gündra, H.[Hartmut],
Geospatial Analysis of the Building Heat Demand and Distribution Losses in a District Heating Network,
IJGI(5), No. 12, 2016, pp. 219.
DOI Link 1612
BibRef

Jarzabek-Rychard, M.[Malgorzata], Maas, H.G.[Hans-Gerd],
Geometric Refinement of ALS-Data Derived Building Models Using Monoscopic Aerial Images,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Alshehhi, R.[Rasha], Marpu, P.R.[Prashanth Reddy], Woon, W.L.[Wei Lee], Dalla Mura, M.[Mauro],
Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks,
PandRS(130), No. 1, 2017, pp. 139-149.
Elsevier DOI 1708
Convolutional, neural, network BibRef

Atazadeh, B.[Behnam], Rajabifard, A.[Abbas], Kalantari, M.[Mohsen],
Assessing Performance of Three BIM-Based Views of Buildings for Communication and Management of Vertically Stratified Legal Interests,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Liu, P.[Po], Li, C.M.[Cheng-Ming], Li, F.[Fei],
Texture-Cognition-Based 3D Building Model Generalization,
IJGI(6), No. 9, 2017, pp. xx-yy.
DOI Link 1710
BibRef

You, Q., Pang, R., Cao, L., Luo, J.,
Image-Based Appraisal of Real Estate Properties,
MultMed(19), No. 12, December 2017, pp. 2751-2759.
IEEE DOI 1712
Appraisal, Indexes, Machine learning, Recurrent neural networks, Robustness, Visualization, Deep neural networks, real estate, visual content analysis BibRef

Wu, G.M.[Guang-Ming], Shao, X.W.[Xiao-Wei], Guo, Z.L.[Zhi-Ling], Chen, Q.[Qi], Yuan, W.[Wei], Shi, X.D.[Xiao-Dan], Xu, Y.W.[Yong-Wei], Shibasaki, R.[Ryosuke],
Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Zhang, K.[Ka], Sheng, Y.[Yehua], Wang, M.Z.[Mei-Zhen], Fu, S.X.[Su-Xia],
An enhanced multi-view vertical line locus matching algorithm of object space ground primitives based on positioning consistency for aerial and space images,
PandRS(139), 2018, pp. 241-254. Object space ground primitive, Positioning consistency, Vertical line locus BibRef 1800

Shrestha, S.[Sanjeevan], Vanneschi, L.[Leonardo],
Improved Fully Convolutional Network with Conditional Random Fields for Building Extraction,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Knoth, L.[Laura], Scholz, J.[Johannes], Strobl, J.[Josef], Mittlböck, M.[Manfred], Vockner, B.[Bernhard], Atzl, C.[Caroline], Rajabifard, A.[Abbas], Atazadeh, B.[Behnam],
Cross-Domain Building Models: A Step towards Interoperability,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Tang, L.[Lei], Li, L.[Lin], Ying, S.[Shen], Lei, Y.[Yuan],
A Full Level-of-Detail Specification for 3D Building Models Combining Indoor and Outdoor Scenes,
IJGI(7), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Dong, Y.Q.[You-Qiang], Zhang, L.[Li], Cui, X.[Ximin], Ai, H.B.[Hai-Bin], Xu, B.[Biao],
Extraction of Buildings from Multiple-View Aerial Images Using a Feature-Level-Fusion Strategy,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Ji, S., Wei, S., Lu, M.,
Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set,
GeoRS(57), No. 1, January 2019, pp. 574-586.
IEEE DOI 1901
Buildings, Remote sensing, Satellite broadcasting, Image resolution, Data mining, Satellites, Image segmentation, remote sensing building data set BibRef

Adán, A.[Antonio], Quintana, B.[Blanca], Prieto, S.A.[Samuel A.],
Autonomous Mobile Scanning Systems for the Digitization of Buildings: A Review,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Xie, X.C.[Xiu-Chuan], Yang, T.[Tao], Li, D.D.[Dong-Dong], Li, Z.[Zhi], Zhang, Y.N.[Yan-Ning],
Hierarchical Clustering-Aligning Framework Based Fast Large-Scale 3D Reconstruction Using Aerial Imagery,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Zhang, H.C.[Huang-Chuang], Cheng, C.Q.[Cheng-Qi], Miao, S.X.[Shuang-Xi],
A Precise Urban Component Management Method Based on the GeoSOT Grid Code and BIM,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Yan, X.F.[Xiong-Feng], Ai, T.H.[Ting-Hua], Yang, M.[Min], Yin, H.M.[Hong-Mei],
A graph convolutional neural network for classification of building patterns using spatial vector data,
PandRS(150), 2019, pp. 259-273.
Elsevier DOI 1903
Building pattern classification, Graph convolutional neural network, Machine learning, Deep learning BibRef

Shakeel, A.[Anza], Sultani, W.[Waqas], Ali, M.[Mohsen],
Deep built-structure counting in satellite imagery using attention based re-weighting,
PandRS(151), 2019, pp. 313-321.
Elsevier DOI 1904
Land use, Deep learning, Regression, Attention based re-weighting, Building count, Built-up area segmentation BibRef

He, H.Q.[Hai-Qing], Zhou, J.C.[Jun-Chao], Chen, M.[Min], Chen, T.[Ting], Li, D.J.[Da-Jun], Cheng, P.G.[Peng-Gen],
Building Extraction from UAV Images Jointly Using 6D-SLIC and Multiscale Siamese Convolutional Networks,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Julin, A.[Arttu], Jaalama, K.[Kaisa], Virtanen, J.P.[Juho-Pekka], Maksimainen, M.[Mikko], Kurkela, M.[Matti], Hyyppä, J.[Juha], Hyyppä, H.[Hannu],
Automated Multi-Sensor 3D Reconstruction for the Web,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
Reality-based photorealistic 3D models for the web. BibRef

Liu, X.Y.[Xin-Yi], Zhang, Y.J.[Yong-Jun], Ling, X.[Xiao], Wan, Y.[Yi], Liu, L.Y.[Lin-Yu], Li, Q.[Qian],
TopoLAP: Topology Recovery for Building Reconstruction by Deducing the Relationships between Linear and Planar Primitives,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Zhang, Y.[Yan], Gong, W.G.[Wei-Guo], Sun, J.X.[Jing-Xi], Li, W.H.[Wei-Hong],
Web-Net: A Novel Nest Networks with Ultra-Hierarchical Sampling for Building Extraction from Aerial Imageries,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Kang, W.C.[Wen-Chao], Xiang, Y.M.[Yu-Ming], Wang, F.[Feng], You, H.J.[Hong-Jian],
EU-Net: An Efficient Fully Convolutional Network for Building Extraction from Optical Remote Sensing Images,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
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Zou, Z.X.[Zheng-Xia], Shi, T.Y.[Tian-Yang], Li, W.Y.[Wen-Yuan], Zhang, Z.[Zhou], Shi, Z.W.[Zhen-Wei],
Do Game Data Generalize Well for Remote Sensing Image Segmentation?,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
building segmentation. Train on buildings in video games then try real data. BibRef

Tang, L.[Lei], Ying, S.[Shen], Li, L.[Lin], Biljecki, F.[Filip], Zhu, H.H.[Hai-Hong], Zhu, Y.[Yi], Yang, F.[Fan], Su, F.[Fei],
An application-driven LOD modeling paradigm for 3D building models,
PandRS(161), 2020, pp. 194-207.
Elsevier DOI 2002
Level of detail, 3D building models, Application-driven, Building components, Granularity BibRef

Bai, T.[Tong], Pang, Y.[Yu], Wang, J.C.[Jun-Chao], Han, K.N.[Kai-Ning], Luo, J.[Jiasai], Wang, H.Q.[Hui-Qian], Lin, J.Z.[Jin-Zhao], Wu, J.[Jun], Zhang, H.[Hui],
An Optimized Faster R-CNN Method Based on DRNet and RoI Align for Building Detection in Remote Sensing Images,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Zhang, M.H.[Meng-Han], Rao, Y.[Yunbo], Pu, J.[Jiansu], Luo, X.[Xun], Wang, Q.F.[Qi-Fei],
Multi-data UAV Images for Large Scale Reconstruction of Buildings,
MMMod20(II:254-266).
Springer DOI 2003
BibRef

Guo, M.Q.[Ming-Qiang], Liu, H.[Heng], Xu, Y.Y.[Yong-Yang], Huang, Y.[Ying],
Building Extraction Based on U-Net with an Attention Block and Multiple Losses,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Drešcek, U.[Urška], Fras, M.K.[Mojca Kosmatin], Tekavec, J.[Jernej], Lisec, A.[Anka],
Spatial ETL for 3D Building Modelling Based on Unmanned Aerial Vehicle Data in Semi-Urban Areas,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Yang, G.[Guang], Zhang, Q.[Qian], Zhang, G.X.[Gui-Xu],
EANet: Edge-Aware Network for the Extraction of Buildings from Aerial Images,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Reda, K.[Kinga], Kedzierski, M.[Michal],
Detection, Classification and Boundary Regularization of Buildings in Satellite Imagery Using Faster Edge Region Convolutional Neural Networks,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Ma, J.J.[Jing-Jing], Wu, L.L.[Lin-Lin], Tang, X.[Xu], Liu, F.[Fang], Zhang, X.R.[Xiang-Rong], Jiao, L.C.[Li-Cheng],
Building Extraction of Aerial Images by a Global and Multi-Scale Encoder-Decoder Network,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Chen, Q.[Qi], Wang, L.[Lei], Waslander, S.L.[Steven L.], Liu, X.G.[Xiu-Guo],
An end-to-end shape modeling framework for vectorized building outline generation from aerial images,
PandRS(170), 2020, pp. 114-126.
Elsevier DOI 2011
Building segmentation, Boundary optimization, Automatic mapping, Deep learning, Shape modeling BibRef

Yu, D.[Dawen], Ji, S.P.[Shun-Ping], Liu, J.[Jin], Wei, S.Q.[Shi-Qing],
Automatic 3D building reconstruction from multi-view aerial images with deep learning,
PandRS(171), 2021, pp. 155-170.
Elsevier DOI 2012
3D building reconstruction, Multi-view aerial images, Convolutional neural network, Earth surface reconstruction, Building footprint regularization BibRef

Gao, J.[Jian], Liu, J.[Jin], Ji, S.P.[Shun-Ping],
A General Deep Learning Based Framework for 3D Reconstruction from Multi-View Stereo Satellite Images,
PandRS(195), 2023, pp. 446-461.
Elsevier DOI 2301
Multi-view stereo, Optical satellite images, Deep learning, Dense matching, 3D reconstruction BibRef

Liu, J.[Jin], Gao, J.[Jian], Ji, S.[Shunping], Zeng, C.[Chang], Zhang, S.Y.[Shao-Yi], Gong, J.[JianYa],
Deep Learning Based Multi-View Stereo Matching and 3D Scene Reconstruction from Oblique Aerial Images,
PandRS(204), 2023, pp. 42-60.
Elsevier DOI 2310
3D scene reconstruction, Multi-view stereo, Oblique aerial images, Deep learning, Dense image matching BibRef

Protopapadakis, E.[Eftychios], Doulamis, A.[Anastasios], Doulamis, N.[Nikolaos], Maltezos, E.[Evangelos],
Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Hu, Y.J.[Yi-Jiang], Tang, H.[Hong],
On the Generalization Ability of a Global Model for Rapid Building Mapping from Heterogeneous Satellite Images of Multiple Natural Disaster Scenarios,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
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Zhang, C.Y.[Chen-Yang], Shi, Q.L.[Qing-Li], Zhuo, L.[Li], Wang, F.[Fang], Tao, H.Y.[Hai-Yan],
Inferring Mixed Use of Buildings with Multisource Data Based on Tensor Decomposition,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
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Li, Y.[Ying], Xu, W.[Weipan], Chen, H.H.[Hao-Hui], Jiang, J.H.[Jun-Hao], Li, X.[Xun],
A Novel Framework Based on Mask R-CNN and Histogram Thresholding for Scalable Segmentation of New and Old Rural Buildings,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
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Hosseininaveh, A.[Ali], Remondino, F.[Fabio],
An Imaging Network Design for UGV-Based 3D Reconstruction of Buildings,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
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Dong, J.[Jiwei], Tan, J.Z.[Jun-Zhong], Zhao, Q.[Qiang], He, L.X.[Li-Xia], Li, S.[Sirui], She, J.F.[Jiang-Feng],
Structure-Level 3D Building Model Encoding Method for Progressive Transmission,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
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Na, Y.H.[Young-Hwan], Kim, J.H.[Jun Hee], Lee, K.[Kyungsu], Park, J.[Juhum], Hwang, J.Y.[Jae You], Choi, J.P.[Jihwan P.],
Domain Adaptive Transfer Attack-Based Segmentation Networks for Building Extraction From Aerial Images,
GeoRS(59), No. 6, June 2021, pp. 5171-5182.
IEEE DOI 2106
Image segmentation, Semantics, Adaptation models, Data models, Feature extraction, Training, Buildings, Adversarial network, semantic segmentation BibRef

Lee, K.[Kyungsu], Lee, H.[Haeyun], Hwang, J.Y.[Jae Youn],
Self-Mutating Network for Domain Adaptive Segmentation of Aerial Images,
ICCV21(7048-7057)
IEEE DOI 2203
Deep learning, Training, Image segmentation, Fluctuations, Adaptive systems, Semantics, Buildings, Segmentation, Optimization and learning methods BibRef

Wang, Q.J.[Qi-Jun], Yan, A.[Aibin], Bao, H.[Hua],
Intra Coding With Geometric Information for Urban Building Scenes,
CirSysVideo(31), No. 6, June 2021, pp. 2386-2400.
IEEE DOI 2106
Image coding, Encoding, Filtering, Buildings, Standards, Transmission line matrix methods, Predictive models, urban building scenes BibRef

Shi, F.[Furong], Zhang, T.[Tong],
A Multi-Task Network with Distance-Mask-Boundary Consistency Constraints for Building Extraction from Aerial Images,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Zhang, L.X.[Li-Xian], Dong, R.M.[Run-Min], Yuan, S.[Shuai], Li, W.J.[Wei-Jia], Zheng, J.P.[Jue-Peng], Fu, H.H.[Hao-Huan],
Making Low-Resolution Satellite Images Reborn: A Deep Learning Approach for Super-Resolution Building Extraction,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Chatterjee, B.[Bodhiswatta], Poullis, C.[Charalambos],
Semantic segmentation from remote sensor data and the exploitation of latent learning for classification of auxiliary tasks,
CVIU(210), 2021, pp. 103251.
Elsevier DOI 2109
Sub-classification of negative label, Interpretability of semantic segmentation networks, Relationship between classification and reconstruction BibRef

Chatterjee, B., Poullis, C.[Charalambos],
On Building Classification from Remote Sensor Imagery Using Deep Neural Networks and the Relation Between Classification and Reconstruction Accuracy Using Border Localization as Proxy,
CRV19(41-48)
IEEE DOI 1908
Image reconstruction, Buildings, Semantics, Feature extraction, Neural networks, Training, Labeling, building classification, relationship between classification and reconstruction accuracy BibRef

Cao, D.G.[Duan-Guang], Xing, H.[Hanfa], Wong, M.S.[Man Sing], Kwan, M.P.[Mei-Po], Xing, H.Q.[Hua-Qiao], Meng, Y.[Yuan],
A Stacking Ensemble Deep Learning Model for Building Extraction from Remote Sensing Images,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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Li, L.W.[Li-Wei], Zhu, J.M.[Jin-Ming], Cheng, G.[Gang], Zhang, B.[Bing],
Detecting High-Rise Buildings from Sentinel-2 Data Based on Deep Learning Method,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
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Hou, Y.[Yu], Chen, M.[Meida], Volk, R.[Rebekka], Soibelman, L.[Lucio],
An Approach to Semantically Segmenting Building Components and Outdoor Scenes Based on Multichannel Aerial Imagery Datasets,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Li, C.[Chuangnong], Fu, L.[Lin], Zhu, Q.[Qing], Zhu, J.[Jun], Fang, Z.[Zheng], Xie, Y.K.[Ya-Kun], Guo, Y.K.[Yu-Kun], Gong, Y.H.[Yu-Hang],
Attention Enhanced U-Net for Building Extraction from Farmland Based on Google and WorldView-2 Remote Sensing Images,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Chen, K.[Keyan], Zou, Z.X.[Zheng-Xia], Shi, Z.W.[Zhen-Wei],
Building Extraction from Remote Sensing Images with Sparse Token Transformers,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Wang, J.Y.[Jing-Yuan], Hu, X.L.[Xin-Li], Meng, Q.Y.[Qing-Yan], Zhang, L.L.[Lin-Lin], Wang, C.Y.[Cheng-Yi], Liu, X.C.[Xiang-Chen], Zhao, M.F.[Mao-Fan],
Developing a Method to Extract Building 3D Information from GF-7 Data,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
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Shen, Y.L.[Yi-Lang], Ai, T.H.[Ting-Hua], Chen, H.[Hao], Li, J.Z.[Jing-Zhong],
Multilevel Mapping From Remote Sensing Images: A Case Study of Urban Buildings,
GeoRS(60), 2022, pp. 1-16.
IEEE DOI 2112
Buildings, Remote sensing, Feature extraction, Image reconstruction, Shape, Sensors, Roads, Hough line detection, urban buildings BibRef

Xu, H.[Hao], Zhu, P.P.[Pan-Pan], Luo, X.B.[Xiao-Bo], Xie, T.S.[Tian-Shou], Zhang, L.Q.[Li-Qiang],
Extracting Buildings from Remote Sensing Images Using a Multitask Encoder-Decoder Network with Boundary Refinement,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Peng, B.C.[Bao-Chai], Ren, D.[Dong], Zheng, C.[Cheng], Lu, A.X.[An-Xiang],
TRDet: Two-Stage Rotated Detection of Rural Buildings in Remote Sensing Images,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Li, Y.[Yang], Lu, H.[Hui], Liu, Q.[Qi], Zhang, Y.H.[Yong-Hong], Liu, X.D.[Xiao-Dong],
SSDBN: A Single-Side Dual-Branch Network with Encoder-Decoder for Building Extraction,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Tang, Z.C.[Zhen-Chao], Chen, C.Y.C.[Calvin Yu-Chian], Jiang, C.Z.[Cheng-Zhen], Zhang, D.Y.[Dong-Ying], Luo, W.R.[Wei-Ran], Hong, Z.M.[Zhi-Ming], Sun, H.W.[Huai-Wei],
Capsule-Encoder-Decoder: A Method for Generalizable Building Extraction from Remote Sensing Images,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Zheng, T.[Tian], Zhang, G.Q.[Guo-Qing], Han, L.[Lei], Xu, L.[Lan], Fang, L.[Lu],
BuildingFusion: Semantic-Aware Structural Building-Scale 3D Reconstruction,
PAMI(44), No. 5, May 2022, pp. 2328-2345.
IEEE DOI 2204
Image reconstruction, Semantics, Liquid crystal displays, Collaboration, Geometry, 3D reconstruction, scene structure BibRef

Meng, Y.[Yan], Chen, S.X.[Shan-Xiong], Liu, Y.X.[Yu-Xuan], Li, L.[Li], Zhang, Z.[Zemin], Ke, T.[Tao], Hu, X.Y.[Xiang-Yun],
Unsupervised Building Extraction from Multimodal Aerial Data Based on Accurate Vegetation Removal and Image Feature Consistency Constraint,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Zhang, C.[Chenni], Cui, Y.F.[Yun-Fan], Zhu, Z.[Zeyao], Jiang, S.[San], Jiang, W.S.[Wan-Shou],
Building Height Extraction from GF-7 Satellite Images Based on Roof Contour Constrained Stereo Matching,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Cui, Y.F.[Yun-Fan], Zhao, S.M.[Shuang-Ming], Jiang, W.S.[Wan-Shou], Yu, G.R.[Guo-Rong],
Urban Building Height Extraction from Gaofen-7 Stereo Satellite Images Enhanced by Contour Matching,
RS(16), No. 9, 2024, pp. 1556.
DOI Link 2405
BibRef

Chen, J.[Jun], Xu, W.F.[Wei-Feng], Yu, Y.[Yang], Peng, C.L.[Cheng-Li], Gong, W.P.[Wen-Ping],
Reliable Label-Supervised Pixel Attention Mechanism for Weakly Supervised Building Segmentation in UAV Imagery,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Qiu, Y.[Yue], Wu, F.[Fang], Yin, J.C.[Ji-Chong], Liu, C.Y.[Cheng-Yi], Gong, X.Y.[Xian-Yong], Wang, A.D.[An-Dong],
MSL-Net: An Efficient Network for Building Extraction from Aerial Imagery,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Liu, Y.W.[Ya-Wen], Guo, B.X.[Bing-Xuan], Wang, S.[Shuo], Liu, S.K.[Si-Kang], Peng, Z.M.[Zi-Ming], Li, D.[Demin],
Urban Building Mesh Polygonization Based on Plane-Guided Segmentation, Topology Correction and Corner Point Clump Optimization,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Yuan, Q.L.[Qing-Lie], Shafri, H.Z.M.[Helmi Zulhaidi Mohd],
Multi-Modal Feature Fusion Network with Adaptive Center Point Detector for Building Instance Extraction,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Yin, J.C.[Ji-Chong], Wu, F.[Fang], Qiu, Y.[Yue], Li, A.[Anping], Liu, C.Y.[Cheng-Yi], Gong, X.Y.[Xian-Yong],
A Multiscale and Multitask Deep Learning Framework for Automatic Building Extraction,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Yuan, W.[Wei], Wang, J.[Jin], Xu, W.B.[Wen-Bo],
Shift Pooling PSPNet: Rethinking PSPNet for Building Extraction in Remote Sensing Images from Entire Local Feature Pooling,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Deng, Y.F.[Yi-Fei], Li, C.L.[Cheng-Long], Lu, A.D.[An-Dong], Li, W.J.[Wen-Jie], Luo, B.[Bin],
Factory Extraction from Satellite Images: Benchmark and Baseline,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Breaban, A.I.[Ana-Ioana], Oniga, V.E.[Valeria-Ersilia], Chirila, C.[Constantin], Loghin, A.M.[Ana-Maria], Pfeifer, N.[Norbert], Macovei, M.[Mihaela], Precul, A.M.N.[Alina-Mihaela Nicuta],
Proposed Methodology for Accuracy Improvement of LOD1 3D Building Models Created Based on Stereo Pleiades Satellite Imagery,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Qiu, Y.[Yue], Wu, F.[Fang], Qian, H.Z.[Hai-Zhong], Zhai, R.J.[Ren-Jian], Gong, X.Y.[Xian-Yong], Yin, J.C.[Ji-Chong], Liu, C.Y.[Cheng-Yi], Wang, A.D.[An-Dong],
AFL-Net: Attentional Feature Learning Network for Building Extraction from Remote Sensing Images,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Chen, S.L.[Sheng-Long], Ogawa, Y.[Yoshiki], Zhao, C.[Chenbo], Sekimoto, Y.[Yoshihide],
Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach,
PandRS(195), 2023, pp. 129-152.
Elsevier DOI 2301
Building extraction, Instance segmentation, Super-resolution, Transformer, Remote sensing, Open data BibRef

Wang, J.C.[Ji-Cheng], Yan, X.[Xin], Shen, L.[Li], Lan, T.[Tian], Gong, X.Q.[Xun-Qiang], Li, Z.L.[Zhi-Lin],
Scale-Invariant Multi-Level Context Aggregation Network for Weakly Supervised Building Extraction,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Che, Z.H.[Zhi-Hao], Shen, L.[Li], Huo, L.[Lianzhi], Hu, C.[Changmiao], Wang, Y.P.[Yan-Ping], Lu, Y.[Yao], Bi, F.[Fukun],
MAFF-HRNet: Multi-Attention Feature Fusion HRNet for Building Segmentation in Remote Sensing Images,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
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Yu, D.[Ding], Li, A.[Aihua], Li, J.[Jinrui], Xu, Y.[Yan], Long, Y.[Yinping],
Mean Inflection Point Distance: Artificial Intelligence Mapping Accuracy Evaluation Index: An Experimental Case Study of Building Extraction,
RS(15), No. 7, 2023, pp. 1848.
DOI Link 2304
BibRef

Li, S.M.[Shi-Ming], Bao, T.R.[Ting-Rui], Liu, H.[Hui], Deng, R.X.[Rong-Xin], Zhang, H.[Hui],
Multilevel Feature Aggregated Network with Instance Contrastive Learning Constraint for Building Extraction,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Xia, L.G.[Lie-Gang], Mi, S.[Shulin], Zhang, J.X.[Jun-Xia], Luo, J.C.[Jian-Cheng], Shen, Z.F.[Zhan-Feng], Cheng, Y.[Yubin],
Dual-Stream Feature Extraction Network Based on CNN and Transformer for Building Extraction,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Wang, W.K.[Wen-Ke], Shi, Y.[Yang], Zhang, J.[Jie], Hu, L.[Lujin], Li, S.[Shuo], He, D.[Ding], Liu, F.[Fei],
Traditional Village Building Extraction Based on Improved Mask R-CNN: A Case Study of Beijing, China,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Xie, S.L.[Song-Lin], Zhang, L.[Lei], Jeon, G.G.[Gwang-Gil], Yang, X.M.[Xiao-Min],
Remote Sensing Neural Radiance Fields for Multi-View Satellite Photogrammetry,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Starzynska-Grzeundefined, M.B.[Malgorzata B.], Roussel, R.[Robin], Jacoby, S.[Sam], Asadipour, A.[Ali],
Computer Vision-Based Analysis of Buildings and Built Environments: A Systematic Review of Current Approaches,
Surveys(55), No. 13s, July 2023, pp. xx-yy.
DOI Link 2309
Survey, Building Analysis. machine learning, computer vision, image data, built environment, Architecture BibRef

Yu, W.L.[Wen-Ling], Liu, B.[Bo], Liu, H.[Hua], Gou, G.H.[Guo-Hua],
Recurrent Residual Deformable Conv Unit and Multi-Head with Channel Self-Attention Based on U-Net for Building Extraction from Remote Sensing Images,
RS(15), No. 20, 2023, pp. 5048.
DOI Link 2310
BibRef

Zhao, Y.J.[Yi-Jiang], Tang, X.[Xiao], Liao, Z.H.[Zhu-Hua], Liu, Y.Z.[Yi-Zhi], Liu, M.[Min], Lin, J.[Jian],
Multi-Type Features Embedded Deep Learning Framework for Residential Building Prediction,
IJGI(12), No. 9, 2023, pp. 356.
DOI Link 2310
BibRef

Deng, R.Q.[Run-Qin], Zhou, M.[Meng], Huang, Y.[Yinni], Tu, W.[Wei],
Hybrid Task Cascade-Based Building Extraction Method in Remote Sensing Imagery,
RS(15), No. 20, 2023, pp. 4907.
DOI Link 2310
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Li, W.[Wende], Yan, H.[Haowen], Lu, X.M.[Xiao-Min], Shen, Y.[Yilang],
A Heuristic Approach for Resolving Spatial Conflicts of Buildings in Urban Villages,
IJGI(12), No. 10, 2023, pp. 392.
DOI Link 2311
BibRef

Bose, S.[Shirsha], Chowdhury, R.S.[Ritesh Sur], Pal, D.[Debabrata], Bose, S.[Shivashish], Banerjee, B.[Biplab], Chaudhuri, S.[Subhasis],
Multiscale probability map guided index pooling with attention-based learning for road and building segmentation,
PandRS(206), 2023, pp. 132-148.
Elsevier DOI Code:
WWW Link. 2312
Segmentation, Building extraction, Road extraction, Index pooling, Multiscale supervision BibRef

Chen, Y.H.[Yu-Han], Yan, Q.Y.[Qing-Yun], Huang, W.M.[Wei-Min],
MFTSC: A Semantically Constrained Method for Urban Building Height Estimation Using Multiple Source Images,
RS(15), No. 23, 2023, pp. 5552.
DOI Link 2312
BibRef

Zhang, W.Z.[Wen-Zheng], Wu, C.[Changyue], Man, W.D.[Wei-Dong], Liu, M.Y.[Ming-Yue],
Dual-Channel Semi-Supervised Adversarial Network for Building Segmentation from UAV-Captured Images,
RS(15), No. 23, 2023, pp. 5608.
DOI Link 2312
BibRef

Zhang, S.[Song], Wei, Z.W.[Zhi-Wei], Xu, W.J.[Wen-Jia], Zhang, L.[LiLi], Wang, Y.[Yang], Zhang, J.M.[Jin-Ming], Liu, J.Y.[Jun-Yi],
Edge aware depth inference for large-scale aerial building multi-view stereo,
PandRS(207), 2024, pp. 27-42.
Elsevier DOI Code:
WWW Link. 2401
Multi-view stereo, Aerial images, Building depth estimation, Building edge extraction, Building edge incorporation BibRef

Wei, K.[Kai], Huang, X.X.[Xiao-Xia], Li, H.G.[Hong-Ga],
Stereo Matching Method for Remote Sensing Images Based on Attention and Scale Fusion,
RS(16), No. 2, 2024, pp. 387.
DOI Link 2402
BibRef

Ma, C.[Chao], Zhang, Y.T.[Yue-Ting], Guo, J.Y.[Jia-Yi], Zhou, G.Y.[Guang-Yao], Geng, X.[Xiurui],
FusionHeightNet: A Multi-Level Cross-Fusion Method from Multi-Source Remote Sensing Images for Urban Building Height Estimation,
RS(16), No. 6, 2024, pp. 958.
DOI Link 2403
BibRef

Han, R.J.[Rui-Jie], Fan, X.T.[Xiang-Tao], Liu, J.[Jian],
EUNet: Edge-UNet for Accurate Building Extraction and Edge Emphasis in Gaofen-7 Images,
RS(16), No. 13, 2024, pp. 2397.
DOI Link 2407
BibRef

Chang, J.X.[Jing-Xin], Jiang, Y.H.[Yong-Hua], Tan, M.L.[Mei-Lin], Wang, Y.M.[Yun-Ming], Wei, S.D.[Shao-Dong],
Building Height Extraction Based on Spatial Clustering and a Random Forest Model,
IJGI(13), No. 8, 2024, pp. 265.
DOI Link 2408
BibRef

Diao, K.[Kuo], Zhu, J.L.[Jin-Long], Liu, G.J.[Guang-Jie], Li, M.[Meng],
MDTrans: Multi-scale and dual-branch feature fusion network based on Swin Transformer for building extraction in remote sensing images,
IET-IPR(18), No. 11, 2024, pp. 2930-2942.
DOI Link 2409
image segmentation, remote sensing BibRef

Hu, X.F.[Xiao-Fei], Zhou, Y.[Yang], Lan, C.Z.[Chao-Zhen], Gan, W.J.[Wen-Jian], Shi, Q.S.[Qun-Shan], Zhou, H.Q.[Han-Qiang],
Unifying Building Instance Extraction and Recognition in UAV Images,
RS(16), No. 18, 2024, pp. 3449.
DOI Link 2410
BibRef

Maneepong, K.[Kittisak], Yamanotera, R.[Ryota], Akiyama, Y.[Yuki], Miyazaki, H.[Hiroyuki], Miyazawa, S.[Satoshi], Akiyama, C.M.[Chiaki Mizutani],
Open Data-Driven 3D Building Models for Micro-Population Mapping in a Data-Limited Setting,
RS(16), No. 21, 2024, pp. 3922.
DOI Link 2411
BibRef

Wang, Y.P.[Yi-Peng], Wang, D.M.[Dong-Mei], Xu, T.[Teng], Shi, Y.F.[Yi-Fan], Liang, W.G.[Wen-Guang], Wang, Y.H.[Yi-Hong], Petropoulos, G.P.[George P.], Bao, Y.S.[Yan-Song],
RDAU-Net: A U-Shaped Semantic Segmentation Network for Buildings near Rivers and Lakes Based on a Fusion Approach,
RS(17), No. 1, 2025, pp. 2.
DOI Link 2501
BibRef

Pan, F.[Fei], Jeon, S.[Sangryul], Wang, B.[Brian], Mckenna, F.[Frank], Yu, S.X.[Stella X.],
Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models,
WACV24(8632-8641)
IEEE DOI 2404
Image segmentation, Vocabulary, Visualization, Satellites, Annotations, Computational modeling, Buildings, Applications, Image recognition and understanding BibRef

Khomiakov, M.[Maxim], Andersen, M.R.[Michael Riis], Frellsen, J.[Jes],
GAST: Geometry-Aware Structure Transformer,
EarthObv24(776-784)
IEEE DOI 2404
Geometry, Computational modeling, Semantic segmentation, Buildings, Transformers BibRef

Sikdar, A.[Aniruddh], Udupa, S.[Sumanth], Gurunath, P.[Prajwal], Sundaram, S.[Suresh],
DeepMAO: Deep Multi-scale Aware Overcomplete Network for Building Segmentation in Satellite Imagery,
PBVS23(487-496)
IEEE DOI 2309
BibRef

Liu, Y.[Yang], Yu, Y.[Yong], Gao, R.[Ruiwei], Wang, Y.W.[Yu-Wei], Lin, Y.F.[Yu-Feng], Wang, W.[Weiye],
IBR-Yolov5: Illegal Building Recognition with UAV Image Based on Improved YOLOv5,
ICIVC22(586-592)
IEEE DOI 2301
Learning systems, Image recognition, Fuses, Buildings, Stochastic processes, Autonomous aerial vehicles, bidirectional feature pyramid network BibRef

Robinson, C.[Caleb], Ortiz, A.[Anthony], Park, H.[Hogeun], Gracia, N.L.[Nancy Lozano], Kaw, J.K.[Jon Kher], Sederholm, T.[Tina], Dodhia, R.[Rahul], Ferres, J.M.L.[Juan M. Lavista],
Fast building segmentation from satellite imagery and few local labels,
EarthVision22(1462-1470)
IEEE DOI 2210
Training, Image segmentation, Technological innovation, Satellites, Computational modeling, Buildings BibRef

Wei, R.[Ren], Fan, B.L.[Bei-Lei], Wang, Y.T.[Yu-Ting], Zhou, A.[Ailian], Zhao, Z.J.[Zi-Juan],
MBNet: Multi-Branch Network for Extraction of Rural Homesteads Based on Aerial Images,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Selvaraju, P.[Pratheba], Nabail, M.[Mohamed], Loizou, M.[Marios], Maslioukova, M.[Maria], Averkiou, M.[Melinos], Andreou, A.[Andreas], Chaudhuri, S.[Siddhartha], Kalogerakis, E.[Evangelos],
BuildingNet: Learning to Label 3D Buildings,
ICCV21(10377-10387)
IEEE DOI 2203
Point cloud compression, Solid modeling, Analytical models, Buildings, Semantics, Benchmark testing, Datasets and evaluation, Vision applications and systems BibRef

Lee, J.H.[Jae-Hun], Kim, C.[ChanYoung], Sull, S.H.[Sang-Hoon],
Weakly Supervised Segmentation of Small Buildings with Point Labels,
ICCV21(7386-7395)
IEEE DOI 2203
Training, Image segmentation, Buildings, Labeling, IEEE Regions, Segmentation, grouping and shape, Datasets and evaluation, Vision applications and systems BibRef

Li, W.J.[Wei-Jia], Yang, H.[Haote], Hu, Z.H.[Zheng-Hao], Zheng, J.[Juepeng], Xia, G.S.[Gui-Song], He, C.H.[Cong-Hui],
3D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions,
CVPR24(27728-27737)
IEEE DOI Code:
WWW Link. 2410
Training, Solid modeling, Calculators, Annotations, Buildings, Urban areas BibRef

Li, W.J.[Wei-Jia], Meng, L.X.[Ling-Xuan], Wang, J.W.[Jin-Wang], He, C.H.[Cong-Hui], Xia, G.S.[Gui-Song], Lin, D.[Dahua],
3D Building Reconstruction from Monocular Remote Sensing Images,
ICCV21(12528-12537)
IEEE DOI 2203
Solid modeling, Buildings, Urban areas, Optimization methods, Reconstruction algorithms, Multitasking, Vision applications and systems BibRef

Aksin, M., Karas, I.R.,
A Review of the Distinguishing Features of the Historical Buildings In Safranbolu Region for the Purpose of Classification for Semantically Enhanced 3d Building Model,
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Spasov, A., Petrova-Antonova, D.,
Transferability Assessment of Open-source Deep Learning Model For Building Detection on Satellite Data,
GeoInfo21(107-110).
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Kippers, R.G., Koeva, M., van Keulen, M., Oude Elberink, S.J.,
Automatic 3d Building Model Generation Using Deep Learning Methods Based on Cityjson and 2d Floor Plans,
GeoInfo21(49-54).
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3d data processing and Visualisation BibRef

He, H.[Hao], Wang, S.Y.[Shu-Yang], Zhao, Q.[Qian], Lv, Z.F.[Zhi-Feng], Sun, D.W.[Da-Wei],
Building Extraction Based on U-net and Conditional Random Fields,
ICIVC21(273-277)
IEEE DOI 2112
Satellites, Buildings, Urban planning, Semantics, Reconnaissance, Feature extraction, Data mining, building extraction, conditional random fields BibRef

Wang, Y.[Yi], Zorzi, S.[Stefano], Bittner, K.[Ksenia],
Machine-learned 3D Building Vectorization from Satellite Imagery,
EarthVision21(1072-1081)
IEEE DOI 2109
Solid modeling, Surface reconstruction, Satellites, Shape, Buildings BibRef

Megir, V.[Victor], Sfikas, G.[Giorgos], Mekras, A.[Athanasios], Nikou, C.[Christophoros], Ioannidis, D.[Dimosthenis], Tzovaras, D.[Dimitrios],
Salient Object Detection with Pretrained Deeplab and k-means: Application to Uav-captured Building Imagery,
PRAConBE20(477-489).
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Feng, Y., Yang, C., Sester, M.[Monika],
Multi-scale Building Maps From Aerial Imagery,
ISPRS20(B3:41-47).
DOI Link 2012
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Yi, H., Chen, X., Wang, D., Du, S., Xu, B., Wang, D.,
Geometric Quality Evaluation Method for Multi-view Satellite Images In 3d Reconstruction,
ISPRS20(B2:533-539).
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Yu, D., Wei, S., Liu, J., Ji, S.,
Advanced Approach for Automatic Reconstruction of 3d Buildings From Aerial Images,
ISPRS20(B2:541-546).
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Huang, H., Michelini, M., Schmitz, M., Roth, L., Mayer, H.,
LOD3 Building Reconstruction From Multi-source Images,
ISPRS20(B2:427-434).
DOI Link 2012
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Stucker, C., Schindler, K.,
ResDepth: Learned Residual Stereo Reconstruction,
EarthVision20(707-716)
IEEE DOI 2008
Image reconstruction, Surface reconstruction, Satellites, Surface topography, Standards, Buildings BibRef

Zhang, F., Nauata, N., Furukawa, Y.,
Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction,
CVPR20(2795-2804)
IEEE DOI 2008
Buildings, Message passing, Image reconstruction, Neural networks, Architecture, Image edge detection, Satellites BibRef

Cheng, D.[Dominic], Liao, R.J.[Ren-Jie], Fidler, S.[Sanja], Urtasun, R.[Raquel],
DARNet: Deep Active Ray Network for Building Segmentation,
CVPR19(7423-7431).
IEEE DOI 2002
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Sirmacek, B., Rashad, R., Radl, P.,
Autonomous UAV-Based 3D-Reconstruction of Structures for Aerial Physical Interaction,
UAV-g19(601-605).
DOI Link 1912
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Zhou, K., Chen, Y., Smal, I., Lindenbergh, R.,
Building Segmentation From Airborne VHR Images Using Mask R-CNN,
Semantics3D19(155-161).
DOI Link 1912
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Huang, S., Nex, F., Lin, Y., Yang, M.Y.,
Semantic Segmentation of Building in Airborne Images,
Semantics3D19(35-42).
DOI Link 1912
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Inzerillo, L., Leto Barone, F., Roberts, R.,
3D Modeling of a Complex Building: From Multi-view Image Fusion To Google Earth Publication,
CIPA19(577-584).
DOI Link 1912
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Giannattasio, C., Papa, L.M., d'Agostino, P.,
BIM-oriented Algorithmic Reconstruction of Building Components For Existing Heritage,
CIPA19(513-518).
DOI Link 1912
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Zammel, M.,
From Perspective Drawing to Low Cost Photogrammetry: Application in Architectural Studies,
LC3D19(427-430).
DOI Link 1912
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Kilsedar, C.E., Fissore, F., Pirotti, F., Brovelli, M.A.,
Extraction and Visualization of 3d Building Models in Urban Areas For Flood Simulation,
GEORES19(669-673).
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Monaco, S., Siconolfi, M., di Luggo, A.,
Existing-BIM: Integrated Survey Procedures for the Management of Modern Architecture,
3DARCH19(495-500).
DOI Link 1904
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Lucarelli, M., Laurini, E., de Berardinis, P.,
3d and 4d Modelling in Building Site Working Control,
3DARCH19(441-446).
DOI Link 1904
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Maiezza, P.,
As-built Reliability in Architectural HBIM Modeling,
3DARCH19(461-466).
DOI Link 1904
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Morganti, R., Tosone, A., di Donato, D., Abita, M.,
HBIM and the 20th Century Steel Building Heritage: A Procedure Suitable for the Construction History in Italy,
3DARCH19(515-522).
DOI Link 1904
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Štuhec, S., Verhoeven, G., Štuhec, I.,
Modelling Building Costs from 3D Building Models: Estimating The Construction Effort from Image-based Surface Models of Dry-stone Shepherd Shelters (kras, Slovenia),
3DARCH19(691-698).
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Bosch, M.[Marc], Foster, K.[Kevin], Christie, G.[Gordon], Wang, S.[Sean], Hager, G.D.[Gregory D.], Brown, M.[Myron],
Semantic Stereo for Incidental Satellite Images,
WACV19(1524-1532)
IEEE DOI 1904
feature extraction, image classification, image reconstruction, image segmentation, neural nets, stereo image processing, Metadata BibRef

Golovanov, S., Kurbanov, R., Artamonov, A., Davydow, A., Nikolenko, S.,
Building Detection from Satellite Imagery Using a Composite Loss Function,
DeepGlobe18(219-2193)
IEEE DOI 1812
Buildings, Satellites, Image segmentation, Convolution, Urban areas, Training, Architecture BibRef

Hamaguchi, R., Hikosaka, S.,
Building Detection from Satellite Imagery using Ensemble of Size-Specific Detectors,
DeepGlobe18(223-2234)
IEEE DOI 1812
Buildings, Roads, Training, Feature extraction, Task analysis, Detectors, Filtering BibRef

Iglovikov, V., Seferbekov, S., Buslaev, A., Shvets, A.,
TernausNetV2: Fully Convolutional Network for Instance Segmentation,
DeepGlobe18(228-232)
IEEE DOI 1812
Buildings, Image segmentation, Decoding, Satellites, Semantics, Training, Convolution BibRef

Delassus, R., Giot, R.,
CNNs Fusion for Building Detection in Aerial Images for the Building Detection Challenge,
DeepGlobe18(237-2374)
IEEE DOI 1812
Buildings, Image segmentation, Predictive models, Architecture, Computational modeling, Urban areas, Data models BibRef

Bauchet, J., Lafarge, F.[Florent],
KIPPI: KInetic Polygonal Partitioning of Images,
CVPR18(3146-3154)
IEEE DOI 1812
Kinetic theory, Shape, Partitioning algorithms, Complexity theory, Image segmentation, Buildings, Standards BibRef

Medici, M.[Marco], Codarin, S.[Sara],
Digitizing the Building Site for Restoration Projects: From ALM Technologies to Innovative Material Scenarios,
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Springer DOI 1811
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Zeng, H.Y.[Hua-Yi], Wu, J.Y.[Jia-Ye], Furukawa, Y.[Yasutaka],
Neural Procedural Reconstruction for Residential Buildings,
ECCV18(III: 759-775).
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Banfi, F.,
Bim Orientation: Grades of Generation And Information for Different Type of Analysis And Management Process,
CIPA17(57-64).
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Building Information Modeling. BibRef

Li, Z., Liu, Y., Hu, Y., Li, P., Ding, Y.,
Compact And Hybrid Feature Description for Building Extraction,
Hannover17(643-646).
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Hu, Y., Li, Z., Li, P., Ding, Y., Liu, Y.,
Accurate And Fast Building Detection Using Binary Bag-of-features,
Hannover17(613-617).
DOI Link 1805
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Yang, X., Koehl, M., Grussenmeyer, P.,
Parametric Modelling of As-built Beam Framed Structure in BIM Environment,
3DARCH17(651-657).
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Oniga, E., Chirila, C., Statescu, F.,
Accuracy Assessment of A Complex Building 3D Model Reconstructed From Images Acquired with A Low-cost UAS,
3DARCH17(551-558).
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Zhai, M., Bessinger, Z.[Zachary], Workman, S., Jacobs, N.[Nathan],
Predicting Ground-Level Scene Layout from Aerial Imagery,
CVPR17(4132-4140)
IEEE DOI 1711
Feature extraction, Image segmentation, Layout, Neural networks, Semantics, Training, Visualization BibRef

Ishii, T., Simo-Serra, E., Iizuka, S., Mochizuki, Y., Sugimoto, A., Ishikawa, H., Nakamura, R.,
Detection by classification of buildings in multispectral satellite imagery,
ICPR16(3344-3349)
IEEE DOI 1705
Adaptation models, Earth, Image resolution, Power generation, Remote sensing, Satellites, Training BibRef

Häne, C., Pollefeys, M.,
An overview of recent progress in volumetric semantic 3D reconstruction,
ICPR16(3294-3307)
IEEE DOI 1705
Buildings, Image reconstruction, Optimization, Semantics, Surface reconstruction, TV, Three-dimensional, displays BibRef

Förstner, W.,
A future for learning semantic models of man-made environments,
ICPR16(2475-2485)
IEEE DOI 1705
Analytical models, Buildings, Image edge detection, Image reconstruction, Semantics, Solid modeling, Three-dimensional, displays BibRef

Zuo, T.C.[Tong-Chun], Feng, J.T.[Jun-Tao], Chen, X.J.[Xue-Jin],
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ACCV16(I: 291-302).
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Holzmann, T.[Thomas], Maurer, M.[Michael], Fraundorfer, F.[Friedrich], Bischof, H.[Horst],
Semantically Aware Urban 3D Reconstruction with Plane-Based Regularization,
ECCV18(XIV: 487-503).
Springer DOI 1810
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Holzmann, T.[Thomas], Fraundorfer, F.[Friedrich], Bischof, H.[Horst],
Regularized 3D Modeling from Noisy Building Reconstructions,
3DV16(528-536)
IEEE DOI 1701
buildings (structures) BibRef

Zhang, C., Mao, B.,
3D Building Models Segmentation Based on K-Means++ Cluster Analysis,
GeoInfo16(57-61).
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Lin, W.Y.[Wen-Yan], Liu, S.Y.[Si-Ying], Jiang, N.J.[Nian-Juan], Do, M.N.[Minh N.], Tan, P.[Ping], Lu, J.B.[Jiang-Bo],
RepMatch: Robust Feature Matching and Pose for Reconstructing Modern Cities,
ECCV16(I: 562-579).
Springer DOI 1611
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Murtiyoso, A.[Arnadi], Grussenmeyer, P.[Pierre], Koehl, M.[Mathieu], Freville, T.[Tristan],
Acquisition and Processing Experiences of Close Range UAV Images for the 3D Modeling of Heritage Buildings,
EuroMed16(I: 420-431).
Springer DOI 1611
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McClune, A.P.[Andrew P.], Mills, J.P.[Jon P.], Miller, P.E.[Pauline E.], Holland, D.A.[David A.],
Automatic 3d Building Reconstruction From A Dense Image Matching Dataset,
ISPRS16(B3: 641-648).
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Nguatem, W., Drauschke, M., Mayer, H.,
Automatic Generation Of Building Models With Levels Of Detail 1-3,
ISPRS16(B3: 649-654).
DOI Link 1610
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Dahlke, D., Linkiewicz, M.,
Comparison Between Two Generic 3d Building Reconstruction Approaches: Point Cloud Based Vs. Image Processing Based,
ISPRS16(B3: 599-604).
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Alrajhi, M.[Muhamad], Alam, Z.[Zafare], Khan, M.A.[Mohammad Afroz], Alobeid, A.[Abdalla],
Influence of GSD for 3D City Modeling And Visualization From Aerial Imagery,
ISPRS16(B3: 561-565).
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Kada, M.[Martin], Wichmann, A.[Andreas], Filippovska, Y.[Yevgeniya], Hermes, T.[Tobias],
Animation Strategies For Smooth Transformations Between Discrete Lods Of 3d Building Models,
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Makantasis, K.[Konstantinos], Karantzalos, K.[Konstantinos], Doulamis, A.D.[Anastasios D.], Loupos, K.[Konstantinos],
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Karantzalos, K., Koutsourakis, P., Kalisperakis, I., Grammatikopoulos, L.,
Model-Based Building Detection from Low-Cost Optical Sensors Onboard Unmanned Aerial Vehicles,
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Barazzetti, L., Banfi, F., Brumana, R., Oreni, D., Previtali, M., Roncoroni, F.,
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Yoon, S., Jung, J., Heo, J.,
Practical Implementation of Semi-Automated As-Built BIM Creation for Complex Indoor Environments,
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Sharma, H.[Hrishikesh], Sebastian, T.[Tom], Purushothaman, B.[Balamuralidhar],
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Murphy, M., Chenaux, A., Keenaghan, G., Gibson, V., Butler, J., Pybusr, C.,
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Dore, C., Murphy, M., McCarthy, S., Brechin, F., Casidy, C., Dirix, E.,
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Hullo, J.F., Thibault, G., Boucheny, C.,
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Liu, L.[Lu], Lu, X.Q.[Xiao-Qing], Fu, S.P.[Song-Ping], Qu, J.W.[Jing-Wei], Gao, L.C.[Liang-Cai], Tang, Z.[Zhi],
Plane Geometry Figure Retrieval Based on Bilayer Geometric Attributed Graph Matching,
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Buildings BibRef

Unger, J., Reich, M., Heipke, C.,
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Partovi, T., Bahmanyar, R., Krauß, T., Reinartz, P.,
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Partovi, T., Arefi, H., Krauß, T., Reinartz, P.,
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Yastikli, N., Uzar, M.,
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Payeur, P.[Pierre], Curtis, P.[Phillip], Cretu, A.M.[Ana-Maria],
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Cretu, A.M.[Ana-Maria], Payeur, P.[Pierre],
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Gao, J.[Jiang],
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Jia, B.[Bing], Zhang, Y.[Ye], Chen, Y.S.[Yu-Shi], Wu, Z.[Zhilu],
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Kwak, E.[Eunju], Habib, A.[Ayman],
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Baig, S.U., Rahman, A.A.,
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Elouedi, I.[Ines], Fournier, R.[Régis], Naït-Ali, A.[Amine],
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Elouedi, I.[Ines], Hamouda, A.[Atef], Rojbani, H.[Hmida], Fournier, R., Nait-Ali, A.,
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Semantic classification by covariance descriptors within a randomized forest,
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DAGM10(303-312).
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CRF Based Region Classification Using Spatial Prototypes,
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Xu, M.[Mai], Petrou, M.[Maria], Jahangiri, M.[Mohammad],
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Building Extraction, High Resolution, Multi-View Images .