22.4.1.4 Building Footprints

Chapter Contents (Back)
Building Recognition. Building Footprint. Mostly intended as the 2-D region, not the 3-D description.

Song, W.B.[Wen-Bo], Haithcoat, T.L.,
Development of comprehensive accuracy assessment indexes for building footprint extraction,
GeoRS(43), No. 2, February 2005, pp. 402-404.
IEEE Abstract. 0501
BibRef

Zhang, K., Yan, J., Chen, S.C.,
Automatic Construction of Building Footprints From Airborne LIDAR Data,
GeoRS(44), No. 9, September 2006, pp. 2523-2533.
IEEE DOI 0609
BibRef

Yan, J.H.[Jian-Hua], Zhang, K.[Keqi], Zhang, C.C.[Cheng-Cui], Chen, S.C.[Shu-Ching], Narasimhan, G.,
Automatic Construction of 3-D Building Model From Airborne LIDAR Data Through 2-D Snake Algorithm,
GeoRS(53), No. 1, January 2015, pp. 3-14.
IEEE DOI 1410
airborne radar BibRef

Gamba, P.[Paolo], Dell'Acqua, F.[Fabio], Lisini, G.[Gianni], Cisotta, F.[Francesco],
Improving Building Footprints in InSAR Data by Comparison with a Lidar DSM,
PhEngRS(72), No. 1, January 2006, pp. 63-70.
WWW Link. The combination of three-dimensional laser and radar data for improved building extraction. 0602
BibRef

Vallet, B.[Bruno], Pierrot-Deseilligny, M.[Marc], Boldo, D.[Didier], Brédif, M.[Mathieu],
Building footprint database improvement for 3D reconstruction: A split and merge approach and its evaluation,
PandRS(66), No. 5, September 2011, pp. 732-742.
Elsevier DOI 1110
BibRef
Earlier: A1, A2, A3, Only:
Building Footprint Database Improvement for 3D Reconstruction: A Direction Aware Split and Merge Approach,
CMRT09(139-144).
PDF File. 0909
Photogrammetry; Segmentation; Reconstruction; Urban scene; Building BibRef

Bredif, M., Boldo, D., Pierrot-Deseilligny, M., Maitre, H.,
3D Building Reconstruction with Parametric Roof Superstructures,
ICIP07(II: 537-540).
IEEE DOI 0709
BibRef

Tournaire, O.[Olivier], Bredif, M., Boldo, D., Durupt, M.,
An efficient stochastic approach for building footprint extraction from digital elevation models,
PandRS(65), No. 4, July 2010, pp. 317-327.
Elsevier DOI 1003
Digital Elevation Model; Building footprint; Energetic modeling; Marked point processes; RJMCMC BibRef

Brédif, M.[Mathieu], Tournaire, O.[Olivier], Vallet, B.[Bruno], Champion, N.[Nicolas],
Extracting polygonal building footprints from digital surface models: A fully-automatic global optimization framework,
PandRS(77), No. 1, March 2013, pp. 57-65.
Elsevier DOI 1303
Urban; Building; Modeling; Geometry; Analysis; DEM/DTM BibRef

Ferro, A., Brunner, D., Bruzzone, L.,
Automatic Detection and Reconstruction of Building Radar Footprints From Single VHR SAR Images,
GeoRS(51), No. 2, February 2013, pp. 935-952.
IEEE DOI 1302
Cited by 1 BibRef

Gilani, S.A.N.[Syed Ali Naqi], Awrangjeb, M.[Mohammad], Lu, G.J.[Guo-Jun],
An Automatic Building Extraction and Regularisation Technique Using LiDAR Point Cloud Data and Orthoimage,
RS(8), No. 3, 2016, pp. 258.
DOI Link 1604
BibRef
And:
Robust building roof segmentation using airborne point cloud data,
ICIP16(859-863)
IEEE DOI 1610
BibRef
And:
Fusion of LIDAR Data and Multispectral Imagery for Effective Building Detection Based on Graph and Connected Component Analysis,
PIA15(65-72).
DOI Link 1504
BibRef
And: A2, A3, Only:
A triangulation-based technique for building boundary identification from point cloud data,
ICVNZ15(1-6)
IEEE DOI 1701
BibRef
And: A2, A3, Only:
Automatic Building Footprint Extraction and Regularisation from LIDAR Point Cloud Data,
DICTA14(1-8)
IEEE DOI 1502
buildings (structures). Buildings digital elevation models
See also Automatic Extraction of Building Roofs Using LIDAR Data and Multispectral Imagery. BibRef

Awrangjeb, M., Lu, G.J.[Guo-Jun], Fraser, C.S.,
Automatic Building Extraction From LIDAR Data Covering Complex Urban Scenes,
PCV14(25-32).
DOI Link 1404
BibRef
Earlier: A1, A2, Only:
Building Roof Plane Extraction from LIDAR Data,
DICTA13(1-8)
IEEE DOI 1402
geophysical image processing BibRef

Awrangjeb, M.[Mohammad], Ravanbakhsh, M.[Mehdi], Fraser, C.S.[Clive S.],
Automatic Detection of Residential Buildings Using LIDAR Data and Multispectral Imagery,
PandRS(65), No. 5, September 2010, pp. 457-467.
Elsevier DOI 1003
BibRef
And:
Building Detection from Multispectral Imagery and LIDAR Data Employing A Threshold-Free Evaluation System,
PCVIA10(A:49).
PDF File. 1009
BibRef
And:
Automatic Building Detection Using LIDAR Data and Multispectral Imagery,
DICTA10(45-51).
IEEE DOI 1012
Building detection; LIDAR; Point cloud; Multispectral imagery; Fusion BibRef

Li, J.Z.[Jing-Zhong], Li, X.G.[Xin-Gong], Xie, T.[Tian],
Morphing of Building Footprints Using a Turning Angle Function,
IJGI(6), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Zhuo, X.Y.[Xiang-Yu], Fraundorfer, F.[Friedrich], Kurz, F.[Franz], Reinartz, P.[Peter],
Optimization of OpenStreetMap Building Footprints Based on Semantic Information of Oblique UAV Images,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Li, W.J.[Wei-Jia], He, C.H.[Cong-Hui], Fang, J.R.[Jia-Rui], Zheng, J.P.[Jue-Peng], Fu, H.H.[Hao-Huan], Yu, L.[Le],
Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef
Earlier: A1, A2, A3, A5, Only:
Semantic Segmentation Based Building Extraction Method Using Multi-source GIS Map Datasets and Satellite Imagery,
DeepGlobe18(233-2333)
IEEE DOI 1812
Buildings, Satellites, Urban areas, Semantics, Image segmentation, Training, Data mining BibRef

Bagheri, H.[Hossein], Schmitt, M.[Michael], Zhu, X.X.[Xiao-Xiang],
Fusion of Multi-Sensor-Derived Heights and OSM-Derived Building Footprints for Urban 3D Reconstruction,
IJGI(8), No. 4, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Schuegraf, P.[Philipp], Bittner, K.[Ksenia],
Automatic Building Footprint Extraction from Multi-Resolution Remote Sensing Images Using a Hybrid FCN,
IJGI(8), No. 4, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Bittner, K., Cui, S., Reinartz, P.,
Building Extraction From Remote Sensing Data Using Fully Convolutional Networks,
Hannover17(481-486).
DOI Link 1805
BibRef

Pasquali, G.[Giorgio], Iannelli, G.C.[Gianni Cristian], Dell'Acqua, F.[Fabio],
Building Footprint Extraction from Multispectral, Spaceborne Earth Observation Datasets Using a Structurally Optimized U-Net Convolutional Neural Network,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Liu, P.H.[Peng-Hua], Liu, X.P.[Xiao-Ping], Liu, M.X.[Meng-Xi], Shi, Q.[Qian], Yang, J.X.[Jin-Xing], Xu, X.C.[Xiao-Cong], Zhang, Y.Y.[Yuan-Ying],
Building Footprint Extraction from High-Resolution Images via Spatial Residual Inception Convolutional Neural Network,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Wei, S., Ji, S., Lu, M.,
Toward Automatic Building Footprint Delineation From Aerial Images Using CNN and Regularization,
GeoRS(58), No. 3, March 2020, pp. 2178-2189.
IEEE DOI 2003
Building extraction, fully convolutional network (FCN), polygon regularization, segmentation BibRef

Li, Q., Shi, Y., Huang, X., Zhu, X.X.,
Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF),
GeoRS(58), No. 11, November 2020, pp. 7502-7519.
IEEE DOI 2011
Buildings, Semantics, Feature extraction, Image segmentation, Task analysis, Remote sensing, Computer architecture, semantic segmentation BibRef

Sun, Y.[Yao], Montazeri, S.[Sina], Wang, Y.Y.[Yuan-Yuan], Zhu, X.X.[Xiao Xiang],
Automatic registration of a single SAR image and GIS building footprints in a large-scale urban area,
PandRS(170), 2020, pp. 1-14.
Elsevier DOI 2011
GIS building footprints, Large-scale, Registration, SAR image, Urban area BibRef

Milosavljevic, A.[Aleksandar],
Automated Processing of Remote Sensing Imagery Using Deep Semantic Segmentation: A Building Footprint Extraction Case,
IJGI(9), No. 8, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Gautam, D., Lucieer, A., Bendig, J., Malenovský, Z.,
Footprint Determination of a Spectroradiometer Mounted on an Unmanned Aircraft System,
GeoRS(58), No. 5, May 2020, pp. 3085-3096.
IEEE DOI 2005
Spectroradiometers, Global navigation satellite system, Antennas, Geology, Vegetation mapping, Cameras, Synchronization, unmanned aircraft system (UAS) BibRef


Ashiotis, G.[Giannis], Oldfield, J.[James], Chrysostomou, C.[Charalambos], Christoudias, T.[Theodoros], Nicolaou, M.A.[Mihalis A.],
Shared-space Autoencoders with Randomized Skip Connections for Building Footprint Detection with Missing Views,
PRRS20 (536-549).
Springer DOI 2103
BibRef

Bischke, B., Helber, P., Folz, J., Borth, D., Dengel, A.,
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks,
ICIP19(1480-1484)
IEEE DOI 1910
Deep Learning, Semantic Segmentation, Satellite Imagery, Multi Task Learning, Building Extraction BibRef

Khoshboresh Masouleh, M., Saradjian, M.R.,
Robust Building Footprint Extraction From Big Multi-sensor Data Using Deep Competition Network,
SMPR19(615-621).
DOI Link 1912
BibRef

Dickenson, M., Gueguen, L.,
Rotated Rectangles for Symbolized Building Footprint Extraction,
DeepGlobe18(215-2153)
IEEE DOI 1812
Buildings, Computer architecture, Microprocessors, Architecture, Urban areas, Computer vision, Satellites BibRef

Linh, T.H.[Truong-Hong], Laefer, D.F.[Debra F.], Yang, B.S.[Bi-Sheng], Huang, R.G.[Rong-Gang], Li, J.P.[Jian-Ping],
IQPC 2015 Track: Evaluation of Automatically Generated 2D Footprints from Urban Lidar Data,
GeoBigData15(527-534).
DOI Link 1602
BibRef

Li, Y., Zhu, L., Shimamura, H., Tachibana, K.,
A Refining Method For Building Object Aggregation And Footprint Modelling Using Multi-source Data,
ISPRS12(XXXIX-B3:41-46).
DOI Link 1209
BibRef

Dini, G.R., Jacobsen, K., Heipke, C.,
Delineation of Building Footprints from High Resolution Satellite Stereo Imagery Using Image Matching and a GIS Database,
Hannover13(81-85).
DOI Link 1308

See also 3D Building Change Detection Using High Resolution Stereo Images and a GIS Database.
See also procedure for semi-Automatic Orthophoto Generation from High Resolution Satellite Imagery, A. BibRef

Michelin, J.C., Mallet, C., David, N.,
Building Edge Detection Using Small-footprint Airborne Full-waveform Lidar Data,
AnnalsPRS(I-3), No. 2012, pp. 147-152.
HTML Version. 1209
BibRef

Yan, L.[Lili], Zhang, J.X.[Ji-Xian], Huang, G.[Guoman], Zhao, Z.[Zheng],
Building Footprints Extraction from PolSAR Image Using Multi-Features and Edge Information,
ISIDF11(1-5).
IEEE DOI 1111
BibRef

Wang, O.[Oliver], Lodha, S.K.[Suresh K.], Helmbold, D.P.[David P.],
A Bayesian Approach to Building Footprint Extraction from Aerial LIDAR Data,
3DPVT06(192-199).
IEEE DOI 0606
BibRef

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Roof Structure, 3-D .


Last update:Mar 3, 2021 at 15:01:44