24.3.3 Roof Structure, 3-D

Chapter Contents (Back)
Building Recognition. Descriptions, Three-Dimensional. Rooftop.
See also Solar Energy Analysis, Photovoltaic Analysis, Buildings, Roofs.

Lechervy, Y., Louis, C., Monga, O.,
Crestlines Contribution to the Automatic Building Extraction,
Ascona97(161-172). Use a stereo pair, and a DSM. Crestlines correspond to ridges on roofs. BibRef 9700

Frere, D., Hendrickx, M., Vandekerckhove, J., Moons, T., Van Gool, L.J.,
On the Reconstruction of Urban House Roofs from Aerial Images,
Ascona97(87-96).
See also Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery. Generate polygons that are uniform, with shapes that correspond to roofs. BibRef 9700

Moons, T.[Theo], Frère, D.[David], Vandekerckhove, J.[Jan], Van Gool, L.J.[Luc J.],
Automatic Modelling and 3-D Reconstruction of Urban House Roofs from High Resolution Aerial Imagery,
ECCV98(I: 410-425).
Springer DOI BibRef 9800

Kriegel, H.P.[Hans-Peter], Seidl, T.[Thomas],
Approximation-Based Similarity Search for 3-D Surface Segments,
GeoInfo(2), No. 2, June 1998, pp. 113-147.
DOI Link BibRef 9806

Baillard, C., Maître, H.,
3-D Reconstruction of Urban Scenes from Aerial Stereo Imagery: A Focusing Strategy,
CVIU(76), No. 3, December 1999, pp. 244-258.
DOI Link 0001
BibRef

Dissard, O., Baillard, C., Maitre, H., Jamet, O.,
Above-Ground Objects in Urban Scenes from Medium Scale Aerial Imagery,
Ascona97(183-192).
See also Extraction and Textural Characterization of Aboveground Areas from Aerial Stereo Pairs: A Quality Assessment. BibRef 9700

Baillard, C.[Caroline], Dissard, O.,
A Stereo Matching Algorithm for Urban Digital Elevation Models,
PhEngRS(66), No. 9, September 2000, pp. 1119-1128. 0010
BibRef
Earlier:
Segmentation of Urban Scenes from Aerial Stereo Imagery,
ICPR98(Vol II: 1405-1407).
IEEE DOI 9808
BibRef

Baillard, C.[Caroline],
A Hybrid Method for Deriving DTMs from Urban DEMs,
ISPRS08(B3b: 109 ff).
PDF File. 0807
BibRef
Earlier:
Production of Urban DSMs Combining 3D Vector Data and Stereo Aerial Imagery,
PIA05(xx-yy).
PDF File. 0509
BibRef

Brandou, V.[Vincent], Baillard, C.[Caroline],
Gable Roof Detection in Terrestrial Images,
PIA11(97-108).
Springer DOI 1110
BibRef

Baillard, C.[Caroline], Zisserman, A.[Andrew],
Automatic Reconstruction of Piecewise Planar Models from Multiple Views,
CVPR99(II: 559-565).
IEEE DOI
See also Surface Reconstruction from Multiple Aerial Images in Dense Urban Areas. BibRef 9900

Zisserman, A., Schaffalitzky, F., Werner, T., Fitzgibbon, A.W.,
Automated reconstruction from multiple photographs,
ICIP02(III: 517-520).
IEEE DOI 0210
Generate a depth model and take regions in front or behind the main surface for windows. BibRef

Werner, T., Zisserman, A.,
New Techniques for Automated Architectural Reconstruction from Photographs,
ECCV02(II: 541 ff.).
Springer DOI 0205
BibRef
And:
Model selection for automated reconstruction from multiple views,
BMVC02(Reconstruction). 0208
Similar to Facade approach (
See also Modeling and Rendering Architecture from Photographs: A Hybrid Geometry- and Image-Based Approach. ). BibRef

Schmid, C.[Cordelia], Zisserman, A.[Andrew],
The Geometry and Matching of Lines and Curves Over Multiple Views,
IJCV(40), No. 3, December 2000, pp. 199-233.
DOI Link line, curve matching, curve, conic transfer 0102
BibRef
Earlier:
The geometry and matching of curves in multiple views,
ECCV98(I: 394).
Springer DOI BibRef

Schmid, C., Zisserman, A.,
Automatic Line Matching Across Views,
CVPR97(666-671).
IEEE DOI 9704
Both 2- and 3-frame constraints. Correlation based match technique. BibRef

Baillard, C., Schmid, C., Zisserman, A., Fitzgibbon, A.W.,
Automatic Line Matching and 3D Reconstruction of Buildings from Multiple Views,
ISPRSGIS99(69-80). The IMPACT Project Works with 6 images, but 4 (3 in a line, 1 above/below) would probably work. Very high resolution data. Find matching lines in 3-D. Generate surfaces as half-planes. Generate new lines from intersections of these surfaces. BibRef 9900

Heuel, S., Förstner, W.,
Topological and Geometrical Models for Building Reconstruction from Multiple Images,
Ascona01(13-24). Use topology and uncertainity. Reason about polyhedral surfaces. 0201
BibRef

Heuel, S.[Stephan], Förstner, W.[Wolfgang],
Matching, Reconstructing and Grouping 3D Lines From Multiple Views Using Uncertain Projective Geometry,
CVPR01(II:517-524).
IEEE DOI
HTML Version. 0110
BibRef

Heuel, S.[Stephan],
Uncertain Projective Geometry: Statistical Reasoning for Polyhedral Object Reconstruction,
Springer2004. ISBN: 978-3-540-22029-9 BibRef 0400 LNCS3008.
Springer DOI Geometric Reasoning. Book from his thesis. BibRef

Heuel, S.,
Points, Lines and Planes and their Optimal Estimation,
DAGM01(xx-yy).
HTML Version. BibRef 0100

Maas, H.G.[Hans-Gerd], Vosselman, G.[George],
Two algorithms for extracting building models from raw laser altimetry data,
PandRS(54), No. 2-3, July 1999, pp. 153-163. BibRef 9907

Maas, H.G.[Hans-Gerd],
Closed Solutions for the Determination of Parametric Building Models from Invariant Moments of Airborne Laserscanner Data,
ISPRSGIS99(193-200). Same data as Vosselman (
See also Building Reconstruction Using Planar Faces in Very High Density Height Data. ), but solves parametric models of roofs from the data. Finds small dormer windows. BibRef 9900

Maas, H.G.,
The Suitability for Airborne Laser Scanner Data for Automatic 3D Object Reconstruction,
Ascona01(291-296). Data is well suited to digital analysis, but image data is still important. 0201
BibRef

Suveg, I.[Ildiko], Vosselman, G.[George],
Reconstruction of 3D building models from aerial images and maps,
PandRS(58), No. 3-4, January 2004, pp. 202-224.
Elsevier DOI 0411
BibRef
Earlier:
Mutual information based evaluation of 3D building models,
ICPR02(III: 557-560).
IEEE DOI 0211
BibRef
Earlier:
Localization and Generation of Building Models,
PCV02(A: 356). 0305
BibRef
Earlier:
Knowledge based reconstruction of buildings,
CIAP01(484-489).
IEEE DOI 0210
BibRef
Earlier:
3D Building Reconstruction by Map Based Generation and Evaluation of Hypotheses,
BMVC01(Session 7: Geometry &. Structure).
HTML Version. Delft University of Technology 0110

See also Knowledge Based Reconstruction of Building Models from Terrestrial Laser Scanning Data. BibRef

Vosselman, G., Suveg, I.,
Map Based Building Reconstruction from Laser Data and Images,
Ascona01(231-239). Use large scale maps for approximate descriptions. Roof faces from laser data. 0201

See also Knowledge Based Reconstruction of Building Models from Terrestrial Laser Scanning Data. BibRef

Vosselman, G.[George],
Building Reconstruction Using Planar Faces in Very High Density Height Data,
ISPRSGIS99(87-92). Cluster planer faces, find connected components, generate 2D building outline, generate planar (polygonal) roof faces. BibRef 9900

Vosselman, G.[George],
On the Estimation of Planimetric Offsets in Laser Altimetry Data,
PCV02(A: 375). 0305
BibRef

Brunn, A.[Ansgar],
Statistical Interpretation of DEM and Image Data for Building Extraction,
Ascona01(171-180). 0201
BibRef
Earlier:
A step towards semantic-based building reconstruction using Markov-random-fields,
ISPRS00(3A, pp.117 - 124). Refinement of data. Bayes analysis. BibRef

Brunn, A.[Ansgar],
Semantik-basierte Gebäudeerfassung mit verkoppelten Markoff-Zufallsfeldern,
Ph.D.Thesis, 2000. Institut für Photogrammetrie der Universität Bonn.
HTML Version. BibRef 0001

Scholze, S.[Stephan], Moons, T.[Theo], Van Gool, L.J.[Luc J.],
A Probabilistic Approach to Building Roof Reconstruction Using Semantic Labelling,
DAGM02(257 ff.).
Springer DOI 0303
BibRef
And:
A Probabilistic Approach to Roof Extraction and Reconstruction,
PCV02(B: 231). 0305
BibRef
Earlier:
A Probabilistic Approach to Roof Patch Extraction and Reconstruction,
Ascona01(195-204). Planar patches from DEM. Initial patches, verified, combined. Turn patches into polygons. 0201
BibRef

Khoshelham, K.[Kourosh], Li, Z.L.[Zhi-Lin],
A Split-and-Merge Technique for Automated Reconstruction of Roof Planes,
PhEngRS(71), No. 7, July 2005, pp. 855-863. A new technique for automated reconstruction of planar building roofs by fusion of image and height data.
WWW Link. 0509
BibRef

Khoshelham, K.,
Region Refinement and Parametric Reconstruction of Building Roofs by Integration of Image and Height Data,
CMRT05(xx-yy).
PDF File. 0508
BibRef

Sampath, A.[Aparajithan], Shan, J.[Jie],
Building Boundary Tracing and Regularization from Airborne Lidar Point Clouds,
PhEngRS(73), No. 7, July 2007, pp. 805-812.
WWW Link. 0709
Building boundaries can be determined to a precision of 18 to 21 percent of the lidar point spacing by the proposed tracing and regularization approach.
See also Urban DEM Generation from Raw Lidar Data: A Labeling Algorithm and its Performance. BibRef

Sampath, A.[Aparajithan], Shan, J.[Jie],
Segmentation and Reconstruction of Polyhedral Building Roofs From Aerial Lidar Point Clouds,
GeoRS(48), No. 3, March 2010, pp. 1554-1567.
IEEE DOI 1003
BibRef
Earlier:
Building Roof Segmentation and Modeling from LIDAR Point Clouds Using Machine Learning Techniques,
ISPRS08(B3a: 279 ff).
PDF File. 0807
BibRef

Avrahami, Y.[Yair], Raizman, Y.[Yuri], Doytsher, Y.[Yerach],
A Polygonal Approach for Automation in Extraction of Serial Modular Roofs,
PhEngRS(74), No. 11, November 2008, pp. 1365-1378.
WWW Link. 0804
BibRef
Earlier:
Extraction of 3D Spatial Polygons Based on the Overlapping Criterion for Roof Extraction from Aerial Images,
CMRT05(xx-yy).
PDF File. 0508
A novel approach for automation in roof extraction from aerial images based on the assumption that roofs are composed of several spatial polygons, and automation in extracting these polygons can lead to automation in roof extraction.
See also Reconstruction of Complex Shape Buildings from Lidar Data Using Free Form Surfaces. BibRef

Kim, K.H.[Kyo-Hyouk], Shan, J.[Jie],
Building roof modeling from airborne laser scanning data based on level set approach,
PandRS(66), No. 4, July 2011, pp. 484-497.
Elsevier DOI 1107
LiDAR (Light Detection And Ranging); Level set; Multiphase level set; Segmentation; Building reconstruction BibRef

Sohn, G.[Gunho], Jwa, Y.[Yoonseok], Jung, J., Kim, H.B.[Heungsik Brian],
An Implicit Regularization For 3d Building Rooftop Modeling Using Airborne Lidar Data,
AnnalsPRS(I-3), No. 2012, pp. 305-310.
DOI Link 1209
BibRef

Jwa, Y., Sohn, G., Tao, V., Cho, W.,
An Implicit Geometric Regularization of 3D Building Shape Using Airborne LIDAR Data,
ISPRS08(B3a: 69 ff).
PDF File. 0807
BibRef

Galvanin, E.A.S., Dal Poz, A.P.,
Extraction of Building Roof Contours From LiDAR Data Using a Markov-Random-Field-Based Approach,
GeoRS(50), No. 3, March 2012, pp. 981-987.
IEEE DOI 1203
BibRef

Dal Poz, A.P., Fernandes, V.J.M.,
Building Roof Boundary Extraction From Lidar And Image Data Based On Markov Random Field,
Hannover17(339-344).
DOI Link 1805
BibRef

Izadi, M.[Mohammad], Saeedi, P.[Parvaneh],
Three-Dimensional Polygonal Building Model Estimation From Single Satellite Images,
GeoRS(50), No. 6, June 2012, pp. 2254-2272.
IEEE DOI 1205
BibRef
Earlier:
Automatic Building Detection in Aerial Images Using a Hierarchical Feature Based Image Segmentation,
ICPR10(472-475).
IEEE DOI 1008
BibRef

Nosrati, M.S.[Masoud S.], Saeedi, P.[Parvaneh],
Rooftop detection using a corner-leaping based contour propagation model,
IPTA10(264-269).
IEEE DOI 1007
BibRef
Earlier:
A novel approach for polygonal rooftop detection in satellite/aerial imageries,
ICIP09(1709-1712).
IEEE DOI 0911
BibRef

Cote, M., Saeedi, P.,
Automatic Rooftop Extraction in Nadir Aerial Imagery of Suburban Regions Using Corners and Variational Level Set Evolution,
GeoRS(51), No. 1, January 2013, pp. 313-328.
IEEE DOI 1301
BibRef

Huang, H.[Hai], Brenner, C.[Claus], Sester, M.[Monika],
A generative statistical approach to automatic 3D building roof reconstruction from laser scanning data,
PandRS(79), No. 1, May 2013, pp. 29-43.
Elsevier DOI 1305
Building; LIDAR; Point cloud; Urban; Extraction; Reconstruction; Three-dimensional BibRef

Awrangjeb, M.[Mohammad], Zhang, C.S.[Chun-Sun], Fraser, C.S.[Clive S.],
Automatic Extraction of Building Roofs Using LIDAR Data and Multispectral Imagery,
PandRS(83), No. 1, 2013, pp. 1-18.
Elsevier DOI 1307
BibRef
Earlier:
Automatic Reconstruction Of Building Roofs Through Effective Integration Of Lidar And Multispectral Imagery,
AnnalsPRS(I-3), No. 2012, pp. 203-208.
DOI Link 1209
BibRef
Earlier:
Automatic Reconstruction of Building Roofs Using LIDAR and Multispectral Imagery,
DICTA11(370-375).
IEEE DOI 1205
Building
See also Automatic Building Extraction and Regularisation Technique Using LiDAR Point Cloud Data and Orthoimage, An. BibRef

Awrangjeb, M.[Mohammad], Fraser, C.S.[Clive S.],
Automatic Segmentation of Raw LIDAR Data for Extraction of Building Roofs,
RS(6), No. 5, 2014, pp. 3716-3751.
DOI Link 1407
BibRef

Awrangjeb, M.[Mohammad],
Effective Generation and Update of a Building Map Database Through Automatic Building Change Detection from LiDAR Point Cloud Data,
RS(7), No. 10, 2015, pp. 14119.
DOI Link 1511
BibRef

Henn, A.[André], Gröger, G.[Gerhard], Stroh, V.[Viktor], Plümer, L.[Lutz],
Model driven reconstruction of roofs from sparse LIDAR point clouds,
PandRS(76), No. 1, February 2013, pp. 17-29.
Elsevier DOI 1301
Reconstruction; Building; Data mining; Classification; LIDAR; Three-dimensional BibRef

Partovi, T.[Tahmineh], Fraundorfer, F.[Friedrich], Bahmanyar, R.[Reza], Huang, H.[Hai], Reinartz, P.[Peter],
Automatic 3-D Building Model Reconstruction from Very High Resolution Stereo Satellite Imagery,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Partovi, T.[Tahmineh], Huang, H., Krauß, T., Mayer, H., Reinartz, P.[Peter],
Statistical Building Roof Reconstruction from Worldview-2 Stereo Imagery,
PIA15(161-167).
DOI Link 1504
BibRef

Bannehr, L.[Lutz], Schmidt, A.[Andreas], Piechel, J.[Johannes], Luhmann, T.[Thomas],
Extracting Urban Parameters of the City of Oldenburg from Hyperspectral, Thermal, and Airborne Laser Scanning Data,
PFG(2013), No. 4, 2013, pp. 367-379.
DOI Link 1309
BibRef

Bannehr, L., Luhmann, T., Piechel, J., Roelfs, T., Schmidt, A.,
Extracting Roof Parameters and Heat Bridges over the City of Oldenburg from Hyperspectral-, Thermal-, and Airborne Laser Scanning Data,
HighRes11(xx-yy).
PDF File. 1106
BibRef

Fan, H.C.[Hong-Chao], Yao, W.[Wei], Fu, Q.[Qing],
Segmentation of Sloped Roofs from Airborne LiDAR Point Clouds Using Ridge-Based Hierarchical Decomposition,
RS(6), No. 4, 2014, pp. 3284-3301.
DOI Link 1405
BibRef

Yan, J.X.[Ji-Xing], Shan, J.[Jie], Jiang, W.S.[Wan-Shou],
A global optimization approach to roof segmentation from airborne lidar point clouds,
PandRS(94), No. 1, 2014, pp. 183-193.
Elsevier DOI 1407
Segmentation BibRef

Ural, S.[Serkan], Shan, J.[Jie],
A Min-cut Based Filter For Airborne Lidar Data,
ISPRS16(B3: 395-401).
DOI Link 1610
BibRef
Earlier:
Min-cut Based Segmentation of Airborne Lidar Point Clouds,
ISPRS12(XXXIX-B3:167-172).
DOI Link 1209
BibRef

Xiong, B., Oude Elberink, S., Vosselman, G.,
A graph edit dictionary for correcting errors in roof topology graphs reconstructed from point clouds,
PandRS(93), No. 1, 2014, pp. 227-242.
Elsevier DOI 1407
3D building reconstruction BibRef

Perera, G.S.N.[Gamage Sanka Nirodha], Maas, H.G.[Hans-Gerd],
Cycle graph analysis for 3D roof structure modelling: Concepts and performance,
PandRS(93), No. 1, 2014, pp. 213-226.
Elsevier DOI 1407
3D Roof reconstruction BibRef

Li, E., Femiani, J., Xu, S.B.[Shi-Biao], Zhang, X.P.[Xiao-Peng], Wonka, P.,
Robust Rooftop Extraction From Visible Band Images Using Higher Order CRF,
GeoRS(53), No. 8, August 2015, pp. 4483-4495.
IEEE DOI 1506
buildings (structures) BibRef

Cilia, C.[Chiara], Panigada, C.[Cinzia], Rossini, M.[Micol], Candiani, G.[Gabriele], Pepe, M.[Monica], Colombo, R.[Roberto],
Mapping of Asbestos Cement Roofs and Their Weathering Status Using Hyperspectral Aerial Images,
IJGI(4), No. 2, 2015, pp. 928.
DOI Link 1507
BibRef

Slota, M.[Malgorzata],
Full-waveform data for building roof step edge localization,
PandRS(106), No. 1, 2015, pp. 129-144.
Elsevier DOI 1507
Laser scanning BibRef

Rinawan, F.R.[Fedri Ruluwedrata], Tateishi, R.[Ryutaro], Raksanagara, A.S.[Ardini Saptaningsih], Agustian, D.[Dwi], Alsaaideh, B.[Bayan], Natalia, Y.A.[Yessika Adelwin], Raksanagara, A.[Ahyani],
Pitch and Flat Roof Factors' Association with Spatiotemporal Patterns of Dengue Disease Analysed Using Pan-Sharpened Worldview 2 Imagery,
IJGI(4), No. 4, 2015, pp. 2586.
DOI Link 1601
BibRef

Wu, B.[Bin], Yu, B.L.[Bai-Lang], Wu, Q.S.[Qiu-Sheng], Yao, S.J.[Shen-Jun], Zhao, F.[Feng], Mao, W.Q.[Wei-Qing], Wu, J.P.[Jian-Ping],
A Graph-Based Approach for 3D Building Model Reconstruction from Airborne LiDAR Point Clouds,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Xu, B.[Bo], Jiang, W.[Wanshou], Shan, J.[Jie], Zhang, J.[Jing], Li, L.[Lelin],
Investigation on the Weighted RANSAC Approaches for Building Roof Plane Segmentation from LiDAR Point Clouds,
RS(8), No. 1, 2016, pp. 5.
DOI Link 1602
BibRef

He, M.Z.[Mei-Zhang], Zhu, Q.[Qing], Du, Z.Q.[Zhi-Qiang], Hu, H.[Han], Ding, Y.L.[Yu-Lin], Chen, M.[Min],
A 3D Shape Descriptor Based on Contour Clusters for Damaged Roof Detection Using Airborne LiDAR Point Clouds,
RS(8), No. 3, 2016, pp. 189.
DOI Link 1604
BibRef

Wang, Y.J.[Yong-Jun], Xu, H.[Hao], Cheng, L.[Liang], Li, M.C.[Man-Chun], Wang, Y.J.[Ya-Jun], Xia, N.[Nan], Chen, Y.M.[Yan-Ming], Tang, Y.[Yong],
Three-Dimensional Reconstruction of Building Roofs from Airborne LiDAR Data Based on a Layer Connection and Smoothness Strategy,
RS(8), No. 5, 2016, pp. 415.
DOI Link 1606
BibRef

Wu, H.[Hangbin], Fan, H.C.[Hong-Chao],
Registration of Airborne LiDAR Point Clouds by Matching the Linear Plane Features of Building Roof Facets,
RS(8), No. 6, 2016, pp. 447.
DOI Link 1608
BibRef

Xie, J.H.[Jing-Han], Feng, C.C.[Chen-Chieh],
An Integrated Simplification Approach for 3D Buildings with Sloped and Flat Roofs,
IJGI(5), No. 8, 2016, pp. 128.
DOI Link 1609
BibRef

Chen, J.Y.[Jyun-Yuan], Lin, C.H.[Chao-Hung], Hsu, P.C.[Po-Chi], Chen, C.H.[Chung-Hao],
Point Cloud Encoding for 3D Building Model Retrieval,
MultMed(16), No. 2, February 2014, pp. 337-345.
IEEE DOI 1404
Internet BibRef

Chen, Y.C.[Yi-Chen], Lin, B.Y.[Bo-Yi], Lin, C.H.[Chao-Hung],
Consistent Roof Geometry Encoding for 3D Building Model Retrieval Using Airborne LiDAR Point Clouds,
IJGI(6), No. 9, 2017, pp. xx-yy.
DOI Link 1710
BibRef
Earlier: A1, A3, Only:
Image-based Airborne Lidar Point Cloud Encoding For 3d Building Model Retrieval,
ISPRS16(B8: 1237-1242).
DOI Link 1610
BibRef

Zhang, W.M.[Wu-Ming], Wang, H.T.[Hong-Tao], Chen, Y.M.[Yi-Ming], Yan, K.[Kai], Chen, M.[Mei],
3D Building Roof Modeling by Optimizing Primitive's Parameters Using Constraints from LiDAR Data and Aerial Imagery,
RS(6), No. 9, 2014, pp. 8107-8133.
DOI Link 1410
BibRef

Wang, H.T.[Hong-Tao], Zhang, W.M.[Wu-Ming], Chen, Y.M.[Yi-Ming], Chen, M.[Mei], Yan, K.[Kai],
Semantic Decomposition and Reconstruction of Compound Buildings with Symmetric Roofs from LiDAR Data and Aerial Imagery,
RS(7), No. 10, 2015, pp. 13945.
DOI Link 1511
BibRef

Chen, J.X.[Jin-Xing], Wang, C.[Chao], Zhang, H.[Hong], Wu, F.[Fan], Zhang, B.[Bo], Lei, W.M.[Wan-Ming],
Automatic Detection of Low-Rise Gable-Roof Building from Single Submeter SAR Images Based on Local Multilevel Segmentation,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Xu, B.[Bo], Jiang, W.[Wanshou], Li, L.[Lelin],
HRTT: A Hierarchical Roof Topology Structure for Robust Building Roof Reconstruction from Point Clouds,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Chen, D., Wang, R., Peethambaran, J.,
Topologically Aware Building Rooftop Reconstruction From Airborne Laser Scanning Point Clouds,
GeoRS(55), No. 12, December 2017, pp. 7032-7052.
IEEE DOI 1712
Atmospheric modeling, Buildings, Data models, Image reconstruction, Solid modeling, Topology, topological consistency BibRef

Benciolini, B.[Battista], Ruggiero, V.[Valeria], Vitti, A.[Alfonso], Zanetti, M.[Massimo],
Roof Planes Detection Via a Second-Order Variational Model,
PandRS(138), 2018, pp. 101 - 120.
Elsevier DOI 1804
Segmentation, Variational model, DSM processing, Edge and crease detection, Filtering, Roof planes, Plane detection and modeling BibRef

Soilán, M.[Mario], Riveiro, B.[Belén], Liñares, P.[Patricia], Pérez-Rivas, A.[Andrea],
Automatic Parametrization of Urban Areas Using ALS Data: The Case Study of Santiago de Compostela,
IJGI(7), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Wu, G.M.[Guang-Ming], Guo, Z.L.[Zhi-Ling], Shi, X.D.[Xiao-Dan], Chen, Q.[Qi], Xu, Y.W.[Yong-Wei], Shibasaki, R.[Ryosuke], Shao, X.W.[Xiao-Wei],
A Boundary Regulated Network for Accurate Roof Segmentation and Outline Extraction,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Awrangjeb, M.[Mohammad], Gilani, S.A.N.[Syed Ali Naqi], Siddiqui, F.U.[Fasahat Ullah],
An Effective Data-Driven Method for 3-D Building Roof Reconstruction and Robust Change Detection,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef
Earlier: A3, A1, Only:
A Novel Building Change Detection Method Using 3D Building Models,
DICTA17(1-8)
IEEE DOI 1804
buildings (structures), feature extraction, solid modelling, structural engineering computing, 3D building models BibRef

Xu, S., Pan, X., Li, E., Wu, B., Bu, S., Dong, W., Xiang, S., Zhang, X.,
Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors,
GeoRS(56), No. 12, December 2018, pp. 7369-7387.
IEEE DOI 1812
Buildings, Reliability, Estimation, Shape, Image color analysis, Feature extraction, Data mining, rooftop extraction BibRef

Chen, Q.[Qi], Wang, L.[Lei], Wu, Y.F.[Yi-Fan], Wu, G.M.[Guang-Ming], Guo, Z.L.[Zhi-Ling], Waslander, S.L.[Steven L.],
Aerial imagery for roof segmentation: A large-scale dataset towards automatic mapping of buildings,
PandRS(147), 2019, pp. 42-55.
Elsevier DOI 1901
Roof segmentation, Building detection, Large-scale dataset, Automatic mapping, Deep learning BibRef

Tommasini, M.[Maurizio], Bacciottini, A.[Alessandro], Gherardelli, M.[Monica],
A QGIS Tool for Automatically Identifying Asbestos Roofing,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Jung, J.W.[Jae-Wook], Sohn, G.[Gunho],
A line-based progressive refinement of 3D rooftop models using airborne LiDAR data with single view imagery,
PandRS(149), 2019, pp. 157-175.
Elsevier DOI 1903
Airborne laser scanning, Airborne imagery, Rooftop modelling, Model selection, Continuous modelling BibRef

Dawid, L.[Leszek], Tomza, M.[Michal], Dawid, A.[Anna],
Estimation of Usable Area of Flat-Roof Residential Buildings Using Topographic Data with Machine Learning Methods,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Dawid, L.[Leszek], Cybinski, K.[Kacper], Strek, Z.[Zanna],
Machine Learning of Usable Area of Gable-Roof Residential Buildings Based on Topographic Data,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Li, L.[Li], Yao, J.[Jian], Tu, J.M.[Jing-Min], Liu, X.Y.[Xin-Yi], Li, Y.X.[Yin-Xuan], Guo, L.B.[Lian-Bo],
Roof Plane Segmentation from Airborne LiDAR Data Using Hierarchical Clustering and Boundary Relabeling,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

García, J.[Juan], Quintana, B.[Blanca], Adán, A.[Antonio], Pérez, V.[Víctor], Castilla, F.J.[Francisco J.],
3D-TTA: A Software Tool for Analyzing 3D Temporal Thermal Models of Buildings,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Murtiyoso, A.[Arnadi], Veriandi, M.[Mirza], Suwardhi, D.[Deni], Soeksmantono, B.[Budhy], Harto, A.B.[Agung Budi],
Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Yeh, C.C.[Chia-Cheng], Chang, Y.L.[Yang-Lang], Alkhaleefah, M.[Mohammad], Hsu, P.H.[Pai-Hui], Eng, W.Y.[Wei-Yong], Koo, V.C.[Voon-Chet], Huang, B.[Bormin], Chang, L.[Lena],
YOLOv3-Based Matching Approach for Roof Region Detection from Drone Images,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Ywata, M.S.Y.[Michelle S. Y.], Dal Poz, A.P.[Aluir P.], Shimabukuro, M.H.[Milton H.], de Oliveira, H.C.[Henrique C.],
Snake-Based Model for Automatic Roof Boundary Extraction in the Object Space Integrating a High-Resolution Aerial Images Stereo Pair and 3D Roof Models,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Hu, P.[Pingbo], Miao, Y.M.[Yi-Ming], Hou, M.[Miaole],
Reconstruction of Complex Roof Semantic Structures from 3D Point Clouds Using Local Convexity and Consistency,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Chen, Z.Y.[Zi-Yi], Li, D.L.[Di-Long], Fan, W.T.[Wen-Tao], Guan, H.Y.[Hai-Yan], Wang, C.[Cheng], Li, J.[Jonathan],
Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Ye, C.M.[Cheng-Ming], Li, H.F.[Hong-Fu], Li, C.M.[Chun-Ming], Liu, X.[Xin], Li, Y.[Yao], Li, J.[Jonathan], Gonçalves, W.N.[Wesley Nunes], Junior, J.M.[José Marcato],
A Building Roof Identification CNN Based on Interior-Edge-Adjacency Features Using Hyperspectral Imagery,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Dong, Y.Q.[You-Qiang], Hou, M.[Miaole], Xu, B.[Biao], Li, Y.H.[Yi-Hao], Ji, Y.H.[Yu-Hang],
Ming and Qing Dynasty Official-Style Architecture Roof Types Classification Based on the 3D Point Cloud,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Huang, W.[Wei], Liu, Z.P.[Ze-Ping], Tang, H.[Hong], Ge, J.Y.[Jia-Yi],
Sequentially Delineation of Rooftops with Holes from VHR Aerial Images Using a Convolutional Recurrent Neural Network,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Yazdi, H.[Hadi], Vukorep, I.[Ilija], Banach, M.[Marzena], Moazen, S.[Sajad], Nadolny, A.[Adam], Starke, R.[Rolf], Bazazzadeh, H.[Hassan],
Central Courtyard Feature Extraction in Remote Sensing Aerial Images Using Deep Learning: A Case-Study of Iran,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Samat, A.[Alim], Gamba, P.[Paolo], Wang, W.[Wei], Luo, J.Q.[Jie-Qiong], Li, E.[Erzhu], Liu, S.C.[Si-Cong], Du, P.J.[Pei-Jun], Abuduwaili, J.[Jilili],
Mapping Blue and Red Color-Coated Steel Sheet Roof Buildings over China Using Sentinel-2A/B MSIL2A Images,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Wang, Y.J.[Yan-Jun], Li, S.C.[Shao-Chun], Teng, F.[Fei], Lin, Y.H.[Yun-Hao], Wang, M.J.[Meng-Jie], Cai, H.F.[Heng-Fan],
Improved Mask R-CNN for Rural Building Roof Type Recognition from UAV High-Resolution Images: A Case Study in Hunan Province, China,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Trevisiol, F.[Francesca], Lambertini, A.[Alessandro], Franci, F.[Francesca], Mandanici, E.[Emanuele],
An Object-Oriented Approach to the Classification of Roofing Materials Using Very High-Resolution Satellite Stereo-Pairs,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Zhao, W.F.[Wu-Fan], Persello, C.[Claudio], Stein, A.[Alfred],
Extracting planar roof structures from very high resolution images using graph neural networks,
PandRS(187), 2022, pp. 34-45.
Elsevier DOI 2205
Planar roof structure extraction, Graph neural network, Optical remote sensing image, Deep learning BibRef

Yang, S.M.[Sheng-Ming], Cai, G.R.[Guo-Rong], Du, J.[Jing], Chen, P.[Ping], Su, J.[Jinhe], Wu, Y.D.[Yun-Dong], Wang, Z.Y.[Zong-Yue], Li, J.[Jonathan],
Connectivity-aware Graph: A planar topology for 3D building surface reconstruction,
PandRS(191), 2022, pp. 302-314.
Elsevier DOI 2208
3D reconstruction, Building surface reconstruction, Mesh processing, Simplification, Connectivity graph BibRef

Li, L.[Li], Song, N.[Nan], Sun, F.[Fei], Liu, X.[Xinyi], Wang, R.[Ruisheng], Yao, J.[Jian], Cao, S.[Shaosheng],
Point2Roof: End-to-end 3D building roof modeling from airborne LiDAR point clouds,
PandRS(193), 2022, pp. 17-28.
Elsevier DOI 2210
Building reconstruction, Roof modeling, Airborne LiDAR, Point clouds, Deep learning BibRef

Sun, Z.[Zhuo], Zhang, Z.X.[Zhi-Xin], Chen, M.[Min], Qian, Z.[Zhen], Cao, M.[Min], Wen, Y.[Yongning],
Improving the Performance of Automated Rooftop Extraction through Geospatial Stratified and Optimized Sampling,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

van den Broeck, W.A.J.[Wouter A. J.], Goedemé, T.[Toon],
Combining Deep Semantic Edge and Object Segmentation for Large-Scale Roof-Part Polygon Extraction from Ultrahigh-Resolution Aerial Imagery,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Faltermeier, F.L.[Florian L.], Krapf, S.[Sebastian], Willenborg, B.[Bruno], Kolbe, T.H.[Thomas H.],
Improving Semantic Segmentation of Roof Segments Using Large-Scale Datasets Derived from 3D City Models and High-Resolution Aerial Imagery,
RS(15), No. 7, 2023, pp. 1931.
DOI Link 2304
BibRef

Yang, J.[Jian], Matsushita, B.[Bunkei], Zhang, H.R.[Hao-Ran],
Improving building rooftop segmentation accuracy through the optimization of UNet basic elements and image foreground-background balance,
PandRS(201), 2023, pp. 123-137.
Elsevier DOI 2307
Building rooftop segmentation, Pretrained backbone, Decoder, Hybrid loss function, Image foreground-background balance, UNet BibRef

Li, Y.J.[Ying-Jie], Jin, W.Q.[Wei-Qi], Qiu, S.[Su], Zuo, D.S.[Dong-Sheng], Liu, J.[Jun],
Color-Coated Steel Sheet Roof Building Extraction from External Environment of High-Speed Rail Based on High-Resolution Remote Sensing Images,
RS(15), No. 16, 2023, pp. 3933.
DOI Link 2309
BibRef

Cai, Z.[Zhan], Ma, H.C.[Hong-Caho], Zhang, L.[Liang],
Extraction of Roof Feature Lines Based on Geometric Constraints from Airborne LiDAR Data,
RS(15), No. 23, 2023, pp. 5493.
DOI Link 2312
BibRef

Wang, J.X.[Jing-Xue], Zang, D.D.[Dong-Dong], Yu, J.Z.[Jin-Zheng], Xie, X.[Xiao],
Extraction of Building Roof Contours from Airborne LiDAR Point Clouds Based on Multidirectional Bands,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Cai, P.[Panli], Guo, J.X.[Jing-Xian], Li, R.[Runkui], Xiao, Z.[Zhen], Fu, H.[Haiyu], Guo, T.Z.[Tong-Ze], Zhang, X.P.[Xiao-Ping], Li, Y.[Yashuai], Song, X.F.[Xian-Feng],
Automated Building Height Estimation Using Ice, Cloud, and Land Elevation Satellite 2 Light Detection and Ranging Data and Building Footprints,
RS(16), No. 2, 2024, pp. 263.
DOI Link 2402
BibRef

Sun, X.K.[Xiao-Kai], Guo, B.Y.[Bao-Yun], Li, C.[Cailin], Sun, N.[Na], Wang, Y.[Yue], Yao, Y.[Yukai],
Semantic Segmentation and Roof Reconstruction of Urban Buildings Based on LiDAR Point Clouds,
IJGI(13), No. 1, 2024, pp. 19.
DOI Link 2402
BibRef


Tingzon, I.[Isabelle], Cowan, N.M.[Nuala Margaret], Chrzanowski, P.[Pierre],
Fusing VHR Post-disaster Aerial Imagery and LiDAR Data for Roof Classification in the Caribbean,
AIHADR23(3742-3749)
IEEE DOI 2401
BibRef

Wang, R.S.[Rui-Sheng], Huang, S.F.[Shang-Feng], Yang, H.X.[Hong-Xin],
Building3D: An Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds,
ICCV23(20019-20029)
IEEE DOI 2401
BibRef

Wang, W.[Wei], Dong, Q.[Qiulei], Hu, Z.Y.[Zhan-Yi],
Single-image piecewise planar reconstruction of urban buildings based on geometric priors,
PandRS(204), 2023, pp. 105-116.
Elsevier DOI 2310
Single-image 3D reconstruction, Piecewise planar reconstruction, Geometric prior, Structure and proximity constraints BibRef

Buyukdemircioglu, M., Can, R., Kocaman, S.,
Deep Learning Based Roof Type Classification Using Very High Resolution Aerial Imagery,
ISPRS21(B3-2021: 55-60).
DOI Link 2201
BibRef

Hensel, S., Goebbels, S., Kada, M.,
Building Roof Vectorization with Ppgnet,
GeoInfo21(85-90).
DOI Link 2201
BibRef

Qian, Y.M.[Yi-Ming], Zhang, H.[Hao], Furukawa, Y.[Yasutaka],
Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential Houses,
CVPR21(2795-2804)
IEEE DOI 2111
Geometry, Measurement, Image segmentation, Image coding, Image edge detection, Generative adversarial networks BibRef

Pirotti, F., Zanchetta, C., Previtali, M., Della Torre, S.,
Detection of Building Roofs and Facades From Aerial Laser Scanning Data Using Deep Learning,
GEORES19(975-980).
DOI Link 1912
BibRef

Dehbi, Y., Koppers, S., Plümer, L.,
Probability Density Based Classification and Reconstruction of Roof Structures From 3d Point Clouds,
GGT19(177-184).
DOI Link 1912
BibRef

Polewski, P., Yao, W., Fang, L.,
Vertical Orientation Correction of UAV Image-based Point Clouds Using Statistical Modeling of Gable Roof Geometry,
UAV-g19(519-523).
DOI Link 1912
BibRef

Radzali, N.A.W.M., Shafri, H.Z.M., Norman, M., Saufi, S.,
Roofing Assessment for Rooftop Rainwater Harvesting Adoption Using Remote Sensing And GIS Approach,
GeoDisast18(129-132).
DOI Link 1901
BibRef

Gkeli, M., Ioannidis, C.,
Automatic 3D Reconstruction of Buildings Roof Tops In Densely Urbanized Areas,
GeoInfo18(47-54).
DOI Link 1901
BibRef

Tian, J., Krauß, T., d'Angelo, P.,
Automatic Rooftop Extraction in Stereo Imagery Using Distance And Building Shape Regularized Level Set Evolution,
Hannover17(393-397).
DOI Link 1805
BibRef

Partovi, T., Fraundorfer, F., Azimi, S., Marmanis, D., Reinartz, P.,
Roof Type Selection Based On Patch-based Classification Using Deep Learning for High Resolution Satellite Imagery,
Hannover17(653-657).
DOI Link 1805
BibRef

Brum-Bastos, V.S., Ribeiro, B.M.G., Pinho, C.M.D., Korting, T.S., Fonseca, L.M.G.,
Improvement Evaluation On Ceramic Roof Extraction Using Worldview-2 Imagery And Geographic Data Mining Approach,
ISPRS16(B7: 883-889).
DOI Link 1610
BibRef

Dal Poz, A.P., Fernandes, V.J.M.,
Extraction Of Roof Lines From High-resolution Images By A Grouping Method,
ISPRS16(B3: 853-857).
DOI Link 1610
BibRef

Köhn, A., Tian, J., Kurz, F.,
Automatic Building Extraction And Roof Reconstruction In 3k Imagery Based On Line Segments,
ISPRS16(B3: 625-631).
DOI Link 1610
BibRef

Chen, Q.[Qi], Wang, S.[Shugen], Liu, X.[Xiuguo],
An Improved Snake Model For Refinement Of Lidar-derived Building Roof Contours Using Aerial Images,
ISPRS16(B3: 583-589).
DOI Link 1610
BibRef

Chen, Y.R., Lim, Y.L., Wang, M.H., Chen, C.Y.,
'Conical Hut': A Basic Form of House Types in Timor Island,
CIPA15(79-84).
DOI Link 1508
BibRef

Xu, B., Jiang, W.S., Zhu, Q.S.,
A Research on the Hierarchy and Completeness of Roof Topology for Robust Building Reconstruction from Airborne Point Cloud,
Seamless15(147-152).
DOI Link 1508
BibRef

Hujebri, B., Samadzadegan, F., Arefi, H.,
Fusion of ALS Point Cloud and Optical Imagery for 3D Reconstruction of Building's Roof,
SMPR13(197-201).
DOI Link 1311
BibRef

Bulatov, D.[Dimitri],
Alignment of Building Footprints Using Quasi-Nadir Aerial Photography,
SCIA19(361-373).
Springer DOI 1906
BibRef

Bulatov, D.[Dimitri], Pohl, M.[Melanie],
Detection of Small Roof Details in Image Sequences,
SCIA13(601-610).
Springer DOI 1311
BibRef

Kohoutek, T.K., Eisenbeiss, H.,
Processing of UAV Based Range Imaging Data To Generate Detailed Elevation Models Of Complex Natural Structures,
ISPRS12(XXXIX-B1:405-410).
DOI Link 1209
BibRef

Demir, N.[Nusret], Baltsavias, E.[Emmanuel],
Automated Modeling Of 3d Building Roofs Using Image And Lidar Data,
AnnalsPRS(I-4), No. 2012, pp. 35-40.
DOI Link 1209
BibRef

Fan, H.,
A Novel Approach For Segmentation Of Airborne Laser Scanning Point Cloud Located On Roof Structure,
ISPRS12(XXXIX-B3:97-102).
DOI Link 1209
BibRef

Abdullah, S.M., Awrangjeb, M., Lu, G.,
LiDAR Segmentation using Suitable Seed Points for 3D Building Extraction,
PCV14(1-8).
DOI Link 1404
BibRef

Perera, S.N., Nalani, H.A., Maas, H.G.,
An Automated Method For 3d Roof Outline Generation And Regularization In Airbone Laser Scanner Data,
AnnalsPRS(I-3), No. 2012, pp. 281-286.
DOI Link 1209
BibRef

Rau, J.Y.,
A Line-based 3d Roof Model Reconstruction Algorithm: Tin-Merging and Reshaping (TMR),
AnnalsPRS(I-3), No. 2012, pp. 287-292.
DOI Link 1209
BibRef

Yan, J., Jiang, W., Shan, J.,
Quality Analysis On Ransac-based Roof Facets Extraction From Airborne Lidar Data,
ISPRS12(XXXIX-B3:367-372).
DOI Link 1209
BibRef

Meixner, P.[Philipp], Leberl, F.[Franz], Bredif, M.[Mathieu],
3D roof details by 3D aerial vision,
CVRSE11(212-218).
IEEE DOI 1201
BibRef

El Merabet, Y.[Youssef], Meurie, C.[Cyril], Ruichek, Y.[Yassine], Sbihi, A.[Abderrahmane], Touahni, R.[Rajaa],
Orthophotoplan Segmentation and Colorimetric Invariants for Roof Detection,
CIAP11(II: 394-403).
Springer DOI 1109
BibRef

Hazelhoff, L.[Lykele], de With, P.H.N.[Peter H. N.],
Robust Model-Based Detection of Gable Roofs in Very-High-Resolution Aerial Images,
CAIP11(I: 598-605).
Springer DOI 1109
BibRef

Rottensteiner, F.[Franz],
Roof plane segmentation by combining multiple images and point clouds,
PCVIA10(A:245).
PDF File. 1009
BibRef

Krauss, T.[Thomas], Reinartz, P.[Peter],
Enhancement of dense urban digital surface models from VHR optical satellite stereo data by pre-segmentation and object detection,
CGC10(29).
PDF File. 1006
BibRef

Rentsch, M.[Matthias], Krzystek, P.[Peter],
Automatically reconstructed roof shapes for LiDAR strip adjustment and quality control,
Laser09(117). 0909
BibRef
And:
LiDAR Strip Adjustment using Automatically Reconstructed Roof Shapes,
HighRes09(xx-yy).
PDF File. 0906
BibRef

Wang, Q.C.[Qiong-Chen], Jiang, Z.G.[Zhi-Guo], Yang, J.L.[Jun-Li], Zhao, D.P.[Dan-Pei], Shi, Z.W.[Zhen-Wei],
Gable Roof Description by Self-Avoiding Polygon,
ACCV09(III: 162-171).
Springer DOI 0909
BibRef

Shi, F.H.[Fan-Huai], Xi, Y.J.[Yong-Jian], Li, X.L.[Xiao-Ling], Duan, Y.[Ye],
Rooftop Detection and 3D Building Modeling from Aerial Images,
ISVC09(II: 817-826).
Springer DOI 0911
BibRef

Lu, T.[Tong], Yang, Y.B.[Yu-Bin], Su, F.[Feng], Sun, Z.X.[Zheng-Xing],
Semi-automatic Roof Reconstruction,
ICDAR09(723-727).
IEEE DOI 0907
Based on drawings? BibRef

Drauschke, M.[Martin], Roscher, R.[Ribana], Läbe, T.[Thomas], Förstner, W.[Wolfgang],
Improving Image Segmentation using Multiple View Analysis,
CMRT09(211-216).
PDF File. 0909
Use depth from multiple views. E.g. planar roof structures from multiple images. BibRef

Engels, J., Arefi, H., Hahn, M.,
Generation of Roof Topologies Using Plane Fitting with RANSAC,
ISPRS08(B3a: 119 ff).
PDF File. 0807
BibRef

Arefi, H., Hahn, M.,
A morphological reconstruction algorithm for separating off-terrain points from terrain points in laser scanning data,
Laser05(xx-yy).
PDF File. 0509
BibRef

Huang, X.F.[Xian-Feng],
A Competition Based Roof Detection Algorithm from Airborne LIDAR Data,
ISPRS08(B3b: 319 ff).
PDF File. 0807
BibRef

Jaw, J.J., Cheng, C.C.,
Building Roof Reconstruction by Fusing Laser Range Data and Aerial Images,
ISPRS08(B3b: 707 ff).
PDF File. 0807
BibRef

Song, Z.Y.[Zong-Ying], Pan, C.H.[Chun-Hong], Yang, Q., Li, F.X.[Fu-Xin], Li, W.[Wei],
Building Roof Detection from a Single High-Resolution Satellite Image in Dense Urban Area,
ISPRS08(B3a: 271 ff).
PDF File. 0807
BibRef

Zinger, S.[Sveta], Nikolova, M.[Mila], Roux, M.[Michel], Maître, H.[Henri],
3D Resampling for Airborne Laser Data of Urban Areas,
PCV02(A: 418). 0305

See also Detection of building outlines based on the fusion of SAR and optical features. BibRef

Bretar, F.[Frederic], Pierrot-Deseilligny, M.[Marc], Roux, M.[Michel],
Recognition of Building Roof Facets by Merging Aerial Images and 3D Lidar Data in a Hierarchical Segmentation Framework,
ICPR06(IV: 5-8).
IEEE DOI 0609

See also Digital Terrain Model on Vegetated Areas: Joint Use of Airborne LIDAR Data and Optical Images. BibRef

Tarsha-Kurdi, F., Landes, T., Grussenmeyer, P., Koehl, M.,
Model-Driven and Data-Driven Approaches Using LIDAR Data: Analysis and Comparison,
PIA07(87).
PDF File. 0711
BibRef

Tarsha-Kurdi, F.[Fayez], Landes, T.[Tania], Grussenmeyer, P.[Pierre],
Hough-Transform and Extended RANSAC Algorithms for Automatic Detection of 3D Building Roof Planes from Lidar Data,
Laser07(407).
PDF File. 0709
BibRef

Song, Z.Y.[Zong-Ying], Pan, C.H.[Chun-Hong], Yang, Q.,
A Region-Based Approach to Building Detection in Densely Build-Up High Resolution Satellite Image,
ICIP06(3225-3228).
IEEE DOI 0610
BibRef
Earlier:
A Bayesian Approach for Building Detection in Densely Build-Up High Resolution Satellite Image,
ICIAR06(II: 710-721).
Springer DOI 0610
BibRef

Manea, G., Calin, A.,
Architectural photogrammetry an extension of conventional surveying,
IEVM06(xx-yy).
PDF File. 0609
BibRef

Jutzi, B.[Boris], Stilla, U.[Uwe],
Precise Range Estimation on Known Surfaces by Analysis of Full-Waveform Laser,
PCV06(xx-yy).
PDF File. 0609
BibRef

Jutzi, B.[Boris], Stilla, U.[Uwe],
Laser Pulse Analysis for Reconstruction and Classification of Urban Objects,
PIA05(xx-yy).
PDF File. 0509
BibRef

Rottensteiner, F., Trinder, J., Clode, S., Kubik, K.,
Automated delineation of roof planes from LiDAR data,
Laser05(xx-yy).
PDF File. 0509
BibRef

Lin, S.Y., Mills, J.P.,
A non-contact monitoring system for investigating as-built membrane roof structures,
IEVM06(xx-yy).
PDF File. 0609
BibRef

Fisher, R.B.,
Solving architectural modelling problems using knowledge,
3DIM03(343-351).
IEEE Abstract. 0311
BibRef

Cantzler, H., Fisher, R.B., Devy, M.,
Improving architectural 3D reconstruction by plane and edge constraining,
BMVC02(Reconstruction). 0208
BibRef Edinburgh BibRef

Bignone, F., Henricsson, O., Fua, P., Stricker, M.,
Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery,
ECCV96(I:83-96).
Springer DOI Data Fusion. Complex (house) roof extraction. Combine 2-D edges, photometric, color, and 3-D information. BibRef 9600

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Solar Energy Analysis, Photovoltaic Analysis, Buildings, Roofs .


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