24.3.1 Building Extraction, High Resolution, Multi-View Images

Chapter Contents (Back)
Aerial Image Analysis. Remote Sensing. Building Extraction. High Resolution.

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And: A1, A2, A3, Only:
Detection, Segmentation and Characterization of Vegetation in High-Resolution Aerial Images for 3D City Modeling,
ISPRS08(B3a: 247 ff).
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Cord, M.[Matthieu], Jordan, M.[Michel], Cocquerez, J.P.[Jean-Pierre], Paparoditis, N.[Nicolas],
Automatic Extraction and Modelling of Urban Buildings from High Resolution Aerial Images,
ISPRSGIS99(187-192). Compute a DEM using edge information -- the weight is iversely proportional to the distance to the center without crossing an edge. If the edges are complete then the weight is zero in these regions. Thus the correlation only applies in the actual region so the boundaries are sharper. Then generate rectangles from the data. BibRef 9900

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Cord, M., Belli, T.,
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Kim, T.J.[Tae-Jung], Muller, J.P.A.[Jan-Peter A.],
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Kim, T.J.[Tae-Jung], Muller, J.P.A.[Jan-Peter A.],
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IVC(14), No. 2, March 1996, pp. 115-130.
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Kim, T.J.[Tae-Jung], Muller, J.P.A.[Jan-Peter A.],
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Kim, T.J.[Tae-Jung], Muller, J.P.A.[Jan-Peter A.],
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IVC(17), No. 1, January 1999, pp. 3-14.
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Kim, T.J.[Tae-Jung],
Semiautomatic Building Line Extraction from Ikonos Images Through Monoscopic Line Analysis,
PhEngRS(72), No. 5, May 2006, pp. 541-550.
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A new algorithm for extracting building lines from monoscopic high-resolution satellite images.
See also Extraction of digital elevation models from satellite stereo images through stereo matching based on epipolarity and scene geometry. BibRef

Fraser, C.S., Baltsavias, E., Gruen, A.,
Processing of Ikonos imagery for submetre 3D positioning and building extraction,
PandRS(56), No. 3, April 2002, pp. 177-194.
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3D Building Reconstruction from High-Resolution Ikonos Stereo-Imagery,
Ascona01(331-344). Evaluate geopositioning accuracy, radiometric quality. Submeter is possible. But variability between images may limit applicibility. 0201

Fraser, C.S.,
Evolution of network orientation procedures,
PDF File. 0609

Jin, X.Y.[Xiao-Ying], Davis, C.H.[Curt H.],
Automated Building Extraction from High-Resolution Satellite Imagery in Urban Areas Using Structural, Contextual, and Spectral Information,
JASP(2005), No. 14, 2005, pp. 2196-2206.
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See also High-Resolution DEMs for Urban Applications from NAPP Photography. BibRef

Hermosilla, T.[Txomin], Ruiz, L.A.[Luis A.], Recio, J.A.[Jorge A.], Estornell, J.[Javier],
Evaluation of Automatic Building Detection Approaches Combining High Resolution Images and LiDAR Data,
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DOI Link 1204

Hermosilla, T.[Txomin],
Automatic building detection and land use classification in urban areas using multispectral high-spatial resolution imagery and LiDAR data,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
DOI Link 1407

Shaker, I., Abd-Elrahman, A., Abdel-Gawad, A., Sherief, M.,
Building Extraction from High Resolution Space Images in High Density Residential Areas in the Great Cairo Region,
RS(3), No. 4, April 2011, pp. 781-791.
DOI Link 1203

Freire, S., Santos, T., Navarro, A., Soares, F., Silva, J.D., Afonso, N., Fonseca, A., Tenedório, J.,
Introducing Mapping Standards in the Quality Assessment of Buildings Extracted from Very High Resolution Satellite Imagery,
PandRS(90), No. 1, 2014, pp. 1-9.
Elsevier DOI 1404
Evaluation, Building Extraction. QuickBird BibRef

Li, Z.B.[Zhong-Bin], Shi, W.Z.[Wen-Zhong], Wang, Q.M.[Qun-Ming], Miao, Z.L.[Ze-Lang],
Extracting Man-Made Objects From High Spatial Resolution Remote Sensing Images via Fast Level Set Evolutions,
GeoRS(53), No. 2, February 2015, pp. 883-899.
And: Correction: GeoRS(53), No. 10, October 2015, pp. 5794-5794.
Gaussian processes BibRef

Xu, Y.Y.[Yong-Yang], Wu, L.[Liang], Xie, Z.[Zhong], Chen, Z.L.[Zhan-Long],
Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802

Chen, R.X.[Ren-Xi], Li, X.H.[Xin-Hui], Li, J.[Jonathan],
Object-Based Features for House Detection from RGB High-Resolution Images,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804

Yang, H.[Hui], Wu, P.H.[Peng-Hai], Yao, X.D.[Xue-Dong], Wu, Y.L.[Yan-Lan], Wang, B.[Biao], Xu, Y.Y.[Yong-Yang],
Building Extraction in Very High Resolution Imagery by Dense-Attention Networks,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812

Sun, G.Y.[Gen-Yun], Huang, H.[Hui], Zhang, A.Z.[Ai-Zhu], Li, F.[Feng], Zhao, H.M.[Hui-Min], Fu, H.[Hang],
Fusion of Multiscale Convolutional Neural Networks for Building Extraction in Very High-Resolution Images,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902

Ma, W.X.[Wei-Xuan], Wan, Y.C.[You-Chuan], Li, J.Y.[Jia-Yi], Zhu, S.[Sa], Wang, M.W.[Ming-Wei],
An Automatic Morphological Attribute Building Extraction Approach for Satellite High Spatial Resolution Imagery,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902

Bi, Q.[Qi], Qin, K.[Kun], Zhang, H.[Han], Zhang, Y.[Ye], Li, Z.L.[Zhi-Li], Xu, K.[Kai],
A Multi-Scale Filtering Building Index for Building Extraction in Very High-Resolution Satellite Imagery,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903

Pan, X.[Xuran], Yang, F.[Fan], Gao, L.[Lianru], Chen, Z.C.[Zheng-Chao], Zhang, B.[Bing], Fan, H.[Hairui], Ren, J.C.[Jin-Chang],
Building Extraction from High-Resolution Aerial Imagery Using a Generative Adversarial Network with Spatial and Channel Attention Mechanisms,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905

Ye, Z.R.[Zi-Ran], Fu, Y.Y.[Yong-Yong], Gan, M.[Muye], Deng, J.S.[Jin-Song], Comber, A.[Alexis], Wang, K.[Ke],
Building Extraction from Very High Resolution Aerial Imagery Using Joint Attention Deep Neural Network,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912

Jing, W.P.[Wei-Peng], Lin, J.B.[Jing-Bo], Wang, H.H.[Hui-Hui],
Building NAS: Automatic designation of efficient neural architectures for building extraction in high-resolution aerial images,
IVC(103), 2020, pp. 104025.
Elsevier DOI 2011
Convolutional neural network, Deep learning, Aerial images, Semantic segmentation, Neural architecture search BibRef

Zhu, Q.Q.[Qi-Qi], Li, Z.[Zhen], Zhang, Y.N.[Ya-Nan], Guan, Q.F.[Qing-Feng],
Building Extraction from High Spatial Resolution Remote Sensing Images via Multiscale-Aware and Segmentation-Prior Conditional Random Fields,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012

Chen, M.[Meng], Wu, J.J.[Jian-Jun], Liu, L.Z.[Lei-Zhen], Zhao, W.H.[Wen-Hui], Tian, F.[Feng], Shen, Q.[Qiu], Zhao, B.Y.[Bing-Yu], Du, R.[Ruohua],
DR-Net: An Improved Network for Building Extraction from High Resolution Remote Sensing Image,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101

Wang, C.[Chao], Zhang, Y.[Yan], Chen, X.H.[Xiao-Hui], Jiang, H.[Hao], Mukherjee, M.[Mithun], Wang, S.[Shuai],
Automatic Building Detection from High-Resolution Remote Sensing Images Based on Joint Optimization and Decision Fusion of Morphological Attribute Profiles,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102

Jin, Y.W.[Yu-Wei], Xu, W.B.[Wen-Bo], Zhang, C.[Ce], Luo, X.[Xin], Jia, H.T.[Hai-Tao],
Boundary-Aware Refined Network for Automatic Building Extraction in Very High-Resolution Urban Aerial Images,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103

Guo, H.[Haonan], Shi, Q.[Qian], Du, B.[Bo], Zhang, L.P.[Liang-Pei], Wang, D.Z.[Dong-Zhi], Ding, H.X.[Hua-Xiang],
Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images,
GeoRS(59), No. 5, May 2021, pp. 4287-4306.
And: Correction: GeoRS(59), No. 6, June 2021, pp. 5387-5387.
Buildings, Feature extraction, Remote sensing, Data mining, Task analysis, Semantics, Optical imaging, scene driven BibRef

Yang, B.J.[Bing-Jie], Huang, Y.C.[Yuan-Cheng], Su, X.[Xin], Guo, H.[Haonan],
MAEANet: Multiscale Attention and Edge-Aware Siamese Network for Building Change Detection in High-Resolution Remote Sensing Images,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210

Guo, H.[Haonan], Su, X.[Xin], Wu, C.[Chen], Du, B.[Bo], Zhang, L.P.[Liang-Pei],
SAAN: Similarity-Aware Attention Flow Network for Change Detection With VHR Remote Sensing Images,
IP(33), 2024, pp. 2599-2613.
Feature extraction, Decoding, Task analysis, Semantics, Optimization, Remote sensing, Correlation, Remote sensing image, attention mechanism BibRef

Ran, S.H.[Shu-Hao], Gao, X.J.[Xian-Jun], Yang, Y.W.[Yuan-Wei], Li, S.H.[Shao-Hua], Zhang, G.B.[Guang-Bin], Wang, P.[Ping],
Building Multi-Feature Fusion Refined Network for Building Extraction from High-Resolution Remote Sensing Images,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107

Seong, S.[Seonkyeong], Choi, J.[Jaewan],
Semantic Segmentation of Urban Buildings Using a High-Resolution Network (HRNet) with Channel and Spatial Attention Gates,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Xia, L.G.[Lie-Gang], Zhang, J.X.[Jun-Xia], Zhang, X.B.[Xiong-Bo], Yang, H.P.[Hai-Ping], Xu, M.X.[Mei-Xia],
Precise Extraction of Buildings from High-Resolution Remote-Sensing Images Based on Semantic Edges and Segmentation,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Fang, F.[Fang], Wu, K.S.[Kai-Shun], Liu, Y.Y.[Yuan-Yuan], Li, S.W.[Sheng-Wen], Wan, B.[Bo], Chen, Y.L.[Yan-Ling], Zheng, D.Y.[Dao-Yuan],
A Coarse-to-Fine Contour Optimization Network for Extracting Building Instances from High-Resolution Remote Sensing Imagery,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110

Liu, Y.Y.[Yuan-Yuan], Chen, D.Y.[Ding-Yuan], Ma, A.L.[Ai-Long], Zhong, Y.F.[Yan-Fei], Fang, F.[Fang], Xu, K.[Kai],
Multiscale U-Shaped CNN Building Instance Extraction Framework With Edge Constraint for High-Spatial-Resolution Remote Sensing Imagery,
GeoRS(59), No. 7, July 2021, pp. 6106-6120.
Buildings, Feature extraction, Image segmentation, Semantics, Remote sensing, Image edge detection, Proposals, Deep learning, multiscale building extraction BibRef

Wen, X.[Xiang], Li, X.[Xing], Zhang, C.[Ce], Han, W.Q.[Wen-Quan], Li, E.[Erzhu], Liu, W.[Wei], Zhang, L.P.[Lian-Peng],
ME-Net: A Multi-Scale Erosion Network for Crisp Building Edge Detection from Very High Resolution Remote Sensing Imagery,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110

Zhang, T.[Tao], Tang, H.[Hong], Ding, Y.[Yi], Li, P.L.[Peng-Long], Ji, C.[Chao], Xu, P.L.[Peng-Lei],
FSRSS-Net: High-Resolution Mapping of Buildings from Middle-Resolution Satellite Images Using a Super-Resolution Semantic Segmentation Network,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106

Gui, S.X.[Sheng-Xi], Qin, R.J.[Rong-Jun],
Automated LoD-2 model reconstruction from very-high-resolution satellite-derived digital surface model and orthophoto,
PandRS(181), 2021, pp. 1-19.
Elsevier DOI 2110
LoD-2 Building Modeling, Data-driven, Decomposition and merging, Multi-stereo satellite images BibRef

Ferrari, L.[Luca], Dell'Acqua, F.[Fabio], Zhang, P.[Peng], Du, P.J.[Pei-Jun],
Integrating EfficientNet into an HAFNet Structure for Building Mapping in High-Resolution Optical Earth Observation Data,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112

Ding, L.[Lei], Tang, H.[Hao], Liu, Y.H.[Ya-Hui], Shi, Y.L.[Yi-Lei], Zhu, X.X.[Xiao Xiang], Bruzzone, L.[Lorenzo],
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images,
IP(31), 2022, pp. 678-690.
Buildings, Shape, Image segmentation, Feature extraction, Adversarial machine learning, Semantics, remote sensing BibRef

Wang, Y.[Yong], Zeng, X.Q.[Xiang-Qiang], Liao, X.H.[Xiao-Han], Zhuang, D.F.[Da-Fang],
B-FGC-Net: A Building Extraction Network from High Resolution Remote Sensing Imagery,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201

Hosseinpour, H.[Hamidreza], Samadzadegan, F.[Farhad], Javan, F.D.[Farzaneh Dadrass],
CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images,
PandRS(184), 2022, pp. 96-115.
Elsevier DOI 2202
Building extraction, VHR remote sensing image, Digital surface model, Gated fusion module, Cross-modal BibRef

Li, J.H.[Jian-Hao], Zhuang, Y.[Yin], Dong, S.[Shan], Gao, P.[Peng], Dong, H.[Hao], Chen, H.[He], Chen, L.[Liang], Li, L.L.[Lian-Lin],
Hierarchical Disentangling Network for Building Extraction from Very High Resolution Optical Remote Sensing Imagery,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205

Chen, J.Z.[Jin-Zhi], Zhang, D.J.[De-Jun], Wu, Y.Q.[Yi-Qi], Chen, Y.L.[Yi-Lin], Yan, X.H.[Xiao-Hu],
A Context Feature Enhancement Network for Building Extraction from High-Resolution Remote Sensing Imagery,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205

Manos, E.[Elias], Witharana, C.[Chandi], Udawalpola, M.R.[Mahendra Rajitha], Hasan, A.[Amit], Liljedahl, A.K.[Anna K.],
Convolutional Neural Networks for Automated Built Infrastructure Detection in the Arctic Using Sub-Meter Spatial Resolution Satellite Imagery,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206

Hossain, M.D.[Mohammad D.], Chen, D.M.[Dong-Mei],
A hybrid image segmentation method for building extraction from high-resolution RGB images,
PandRS(192), 2022, pp. 299-314.
Elsevier DOI 2209
Image segmentation, Hybrid method, Building extraction, GEOBIA BibRef

Wang, C.S.[Chun-Shan], Sun, W.[Wei], Wu, H.R.[Hua-Rui], Zhao, C.J.[Chun-Jiang], Teng, G.[Guifa], Yang, Y.R.[Ying-Ru], Du, P.F.[Peng-Fei],
A Low-Altitude Remote Sensing Inspection Method on Rural Living Environments Based on a Modified YOLOv5s-ViT,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
For scattered rural buildings. BibRef

Feng, D.[Dan], Chu, H.Y.[Hong-Yun], Zheng, L.[Ling],
Frequency Spectrum Intensity Attention Network for Building Detection from High-Resolution Imagery,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212

Bai, H.W.[Hai-Wei], Cheng, J.[Jian], Su, Y.Z.[Yan-Zhou], Wang, Q.[Qi], Han, H.R.[Hao-Ran], Zhang, Y.J.[Yi-Jie],
Multi-Branch Adaptive Hard Region Mining Network for Urban Scene Parsing of High-Resolution Remote-Sensing Images,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212

Xu, G.[Gang], Deng, M.[Min], Sun, G.[Geng], Guo, Y.[Ya], Chen, J.[Jie],
Improving Building Extraction by Using Knowledge Distillation to Reduce the Impact of Label Noise,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212

He, Y.[Yong], Liao, W.T.[Wen-Ting], Hong, H.[Hao], Huang, X.[Xu],
High-Precision Single Building Model Reconstruction Based on the Registration between OSM and DSM from Satellite Stereos,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303

Wang, Z.Q.[Zhen-Qing], Zhou, Y.[Yi], Wang, F.[Futao], Wang, S.X.[Shi-Xin], Qin, G.[Gang], Zou, W.J.[Wei-Jie], Zhu, J.F.[Jin-Feng],
A Multi-Scale Edge Constraint Network for the Fine Extraction of Buildings from Remote Sensing Images,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303

Yan, G.[Geding], Jing, H.T.[Hai-Tao], Li, H.[Hui], Guo, H.[Huanchao], He, S.[Shi],
Enhancing Building Segmentation in Remote Sensing Images: Advanced Multi-Scale Boundary Refinement with MBR-HRNet,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308

Xu, B.[Bowen], Xu, J.[Jiakun], Xue, N.[Nan], Xia, G.S.[Gui-Song],
HiSup: Accurate polygonal mapping of buildings in satellite imagery with hierarchical supervision,
PandRS(198), 2023, pp. 284-296.
Elsevier DOI 2304
Building extraction, Building vectorization, High-resolution satellite imagery BibRef

Li, W.J.[Wei-Jia], Zhao, W.Q.[Wen-Qian], Yu, J.H.[Jin-Hua], Zheng, J.P.[Jue-Peng], He, C.H.[Cong-Hui], Fu, H.H.[Hao-Huan], Lin, D.[Dahua],
Joint semantic-geometric learning for polygonal building segmentation from high-resolution remote sensing images,
PandRS(201), 2023, pp. 26-37.
Elsevier DOI 2307
Building extraction, Semantic segmentation, Graph neural networks, High-resolution remote sensing images BibRef

Xie, Y.K.[Ya-Kun], Feng, D.J.[De-Jun], Xiong, S.[Sifan], Zhu, J.[Jun], Liu, Y.G.[Yang-Ge],
Multi-Scene Building Height Estimation Method Based on Shadow in High Resolution Imagery,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108

Wang, X.D.[Xu-Dong], Tian, M.L.[Ming-Liang], Zhang, Z.J.[Zhi-Jun], He, K.[Kang], Wang, S.[Sheng], Liu, Y.[Yan], Dong, Y.[Yusen],
SDSNet: Building Extraction in High-Resolution Remote Sensing Images Using a Deep Convolutional Network with Cross-Layer Feature Information Interaction Filtering,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401

Hossain, M.D.[Mohammad D.], Chen, D.M.[Dong-Mei],
Performance Comparison of Deep Learning (DL)-Based Tabular Models for Building Mapping Using High-Resolution Red, Green, and Blue Imagery and the Geographic Object-Based Image Analysis Framework,
RS(16), No. 5, 2024, pp. 878.
DOI Link 2403

Du, Z.T.[Zhuo-Tong], Sui, H.G.[Hai-Gang], Zhou, Q.M.[Qi-Ming], Zhou, M.T.[Ming-Ting], Shi, W.[Weiyue], Wang, J.X.[Jian-Xun], Liu, J.Y.[Jun-Yi],
Vectorized building extraction from high-resolution remote sensing images using spatial cognitive graph convolution model,
PandRS(213), 2024, pp. 53-71.
Elsevier DOI 2406
Building extraction, High-resolution remote sensing images, Shape encoding, Graph convolutional networks, Graph pooling BibRef

Gao, J.L.[Jia-Liang], Zhang, B.[Bin], Wu, Y.T.[Yun-Tao], Guo, C.[Chang],
Building Extraction from High Resolution Remote Sensing Images Based on Improved Mask R-CNN,
Deep learning, Image segmentation, Image resolution, Buildings, Feature extraction, Robot sensing systems, attention mechanism BibRef

Liu, L.Y., Wang, C.K.,
Building Segmentation in Agricultural Land Using High Resolution Satellite Imagery Based on Deep Learning Approach,
ISPRS21(B3-2021: 587-594).
DOI Link 2201

Ding, Y.[Yi], Wu, M.Y.[Mu-Yu], Xu, Y.S.[Yong-Shu], Duan, S.J.[Song-Jiang],
P-Linknet: Linknet with Spatial Pyramid Pooling for High-resolution Satellite Imagery,
DOI Link 2012

Kong, F., Huang, B., Bradbury, K., Malof, J.M.,
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation,
Buildings, Image segmentation, Benchmark testing, Training, Cameras, Software, Urban areas BibRef

Hosseinpoor, H.R., Samadzadegan, F.,
Attention Based Convolutional Neural Network for Building Extraction From Very High Resolution Remote Sensing Image,
DOI Link 1912

Barragán, W., Campos, A., Sanchez, G.,
Automatic Generation Of Building Mapping Using Digital, Vertical And Aerial High Resolution Photographs And Lidar Point Clouds,
ISPRS16(B7: 171-176).
DOI Link 1610

Rechichi, F., Mandelli, A., Achille, C., Fassi, F.,
Sharing High-resolution Models And Information On Web: The Web Module Of Bim3dsg System,
ISPRS16(B5: 703-710).
DOI Link 1610

Quattrini, R., Malinverni, E.S., Clini, P., Nespeca, R., Orlietti, E.,
From TLS To HBIM. High Quality Semantically-Aware 3D Modeling of Complex Architecture,
DOI Link 1504

Silván-Cárdenas, J.L.[José Luis], Almazán-González, J.A.[Juan Andrés], Couturier, S.A.[Stéphane A.],
Remote Identification of Housing Buildings with High-Resolution Remote Sensing,
Springer DOI 1407

Souri, A.H., Mohammadi, A., Sharifi, M.A.,
A New Prompt for Building Extraction in High Resolution Remotely Sensed Imagery,
DOI Link 1311

Guo, Z., Luo, L., Wang, W., Du, S.,
Data fusion of high-resolution satellite imagery and GIS data for automatic building extraction,
DOI Link 1311

Sun, X.[Xian], Thiele, A., Hinz, S.[Stefan], Fu, K.,
Automatic Detection and Recognition of Man-Made Objects in High Resolution Remote Sensing Images Using Hierarchical Semantic Graph Model,
DOI Link 1308

Attarzadeh, R., Momeni, M.,
Object-based Building Extraction from High Resolution Satellite Imagery,
DOI Link 1209

Elouedi, I.[Ines], Hamouda, A.[Atef], Rojbani, H.[Hmida],
Rectangular Discrete Radon Transform for Buildings Extraction from High Resolution Satellite Images,
ICIAR12(I: 418-426).
Springer DOI 1206

Zhao, J.[Jun], Ning, X.G.[Xiao-Gang], Zhang, J.X.[Ji-Xian],
A Detection Method of New Buildings Based on High Resolution Remote Images,

Krauß, T.[Thomas], Reinartz, P.[Peter],
Refinement of Urban Digital Elevation Models from Very High Resolution Stereo Satellite Images,
PDF File. 0906

Krauß, T.[Thomas], Lehner, M.[Manfred], Reinartz, P.[Peter],
Generation of COARSE 3D Models of Urban Areas from High Resolution Stereo Satellite Image,
ISPRS08(B1: 1091 ff).
PDF File. 0807

Krauß, T., Reinartz, P., Stilla, U.,
Extracting Orthogonal Building Objects in Urban Areas from High Resolution Stereo Satellite Image Pairs,
PDF File. 0711
Classify as building -- rectangular shapes, tree, and terrain. BibRef

Krauß, T.[Thomas],
Preprocessing of Satellite Data for Urban Object Extraction,
DOI Link 1504

Mayer, S.,
Gradient based splitting of blocks of houses in high-resolution ortho-images,
ICIP02(I: 769-772).
Constrained Optimization of Building Contours from High-resolution Ortho-images,
ICIP01(I: 838-841).

Canu, D.[David], Gambotto, J.P.[Jean-Pierre], Sirat, J.A.[Jacques Ariel], Ayache, N.,
Reconstruction of Buildings from Multiple High Resolution Images,
ICIP96(II: 621-624).
IEEE DOI BibRef 9600

Berthod, M., Gabet, L., Giraudon, G., and Lotti, J.L.,
High-Resolution Stereo for the Detection of Buildings,
Ascona95(135-144). Generate a DEM with buildings, then extract the buildings from the DEM. BibRef 9500

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Buildings from Depth Data, LiDAR Data .

Last update:Jul 18, 2024 at 20:50:34