23.3.1 Building Extraction, High Resolution, Multi-View Images

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

Jordan, M., Cocquerez, J.P.,
3-Dimensional Description of Scenes Observed in Aerial-Photography,
PR(28), No. 7, July 1995, pp. 931-947.
Elsevier DOI BibRef 9507

Paparoditis, N., Cord, M., Jordan, M., Cocquerez, J.P.,
Building Detection and Reconstruction from Mid- and High-resolution Aerial Imagery,
CVIU(72), No. 2, November 1998, pp. 122-142.
DOI Link BibRef 9811

Cord, M.[Matthieu], Jordan, M.[Michel], Cocquerez, J.P.[Jean-Pierre],
Accurate Building Structure Recovery from High Resolution Aerial Imagery,
CVIU(82), No. 2, May 2001, pp. 138-173.
DOI Link 0108
Adaptive Stereo. Stereo, Computation. Gradient correlation, contour-adaptive windows with a geodesic weighting, a multi- resolution coarse to fine scheme, and a two-way filtering symmetrical validation. BibRef

Iovan, C.[Corina], Boldo, D.[Didier], Cord, M.[Matthieu], Erikson, M.[Mats],
Automatic Extraction and Classification of Vegetation Areas from High Resolution Images in Urban Areas,
Springer DOI 0706
And: A1, A2, A3, Only:
Detection, Segmentation and Characterization of Vegetation in High-Resolution Aerial Images for 3D City Modeling,
ISPRS08(B3a: 247 ff).
PDF File. 0807

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

Jordan, M.[Michel], Cord, M.[Matthieu], Belli, T.[Thomas],
Building Detection from High Resolution Digital Elevation Models in Urban Areas,
PCV02(B: 96). 0305

Cord, M., Belli, T.,
Terrain surface modeling from altimetric data,
ICIP02(III: 809-812).

Belli, T., Cord, M., Jordan, M.,
3D Data Reconstruction and Modeling for Urban Scene Analysis,
Ascona01(125-134). From color images. Model terrain as parametric surface to get above ground regions (i.e. the buildings). 0201

Kim, T.J.[Tae-Jung], Muller, J.P.A.[Jan-Peter A.],
A Technique for 3D Building Reconstruction,
PhEngRS(64), No. 9, September 1998, pp. 923-930. 9809

Kim, T.J.[Tae-Jung], Muller, J.P.A.[Jan-Peter A.],
Automated Urban Area Building Extraction from High-Resolution Stereo Imagery,
IVC(14), No. 2, March 1996, pp. 115-130.
Elsevier DOI 9607

Kim, T.J.[Tae-Jung], Muller, J.P.A.[Jan-Peter A.],
Building Extraction and Verification from Spaceborne and Aerial Imagery Using Image Understanding Fusion Techniques,
Ascona95(221-230). BibRef 9500
Automated Building Height Estimation and Object Extraction from Multiresolution Imagery,
SPIE(2486), 1995, pp. 267-276. BibRef

Kim, T.J.[Tae-Jung], Muller, J.P.A.[Jan-Peter A.],
Development of a graph-based approach for building detection,
IVC(17), No. 1, January 1999, pp. 3-14.
Elsevier DOI BibRef 9901

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.
WWW Link. 0610
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.
HTML Version. 0205
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.
WWW Link. 0603

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,
RS(3), No. 6, 2011, pp. 1188-1210.
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.[Huimin], 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.[Jiayi], 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.[Zhili], 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.[Wenbo], 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

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,
HTML Version. 1311

Guo, Z., Luo, L., Wang, W., Du, S.,
Data fusion of high-resolution satellite imagery and GIS data for automatic building extraction,
HTML Version. 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:Jun 21, 2021 at 13:48:20