Keith Price Bibliography Buildings from Depth data

22.4.1 Buildings from Depth data

Chapter Contents (Back)
Laser Scanners. Building Recognition.

Brunn, A.[Ansgar], Weidner, U.[Uwe],
Hierarchical Bayesian nets for building extraction using dense digital surface models,
PandRS(53), No. 5, October 1998, pp. 296-307. BibRef 9810

Weidner, U., Förstner, W.,
Towards Automatic Building Extraction from High-Resolution Digital Elevation Models,
PandRS(50), No. 4, August 1995, pp. 38-49.
HTML Version. BibRef 9508

Weidner, U.,
Evaluation of Building Extraction from Digital Elevation Models,
TRMay 1995.
HTML Version. BibRef 9505

Weidner, U.,
Digital Surface Models for Building Extraction,
Ascona97(193-202). BibRef 9700
Earlier:
Building Extraction from Digital Elevation Models,
TRMay 1995.
HTML Version. BibRef
Earlier:
Parameter-Free Information-Preserving Surface Restoration,
ECCV94(B:218-224).
Springer DOI Link BibRef

Hug, C.,
Extracting Artificial Surface Objects from Airborne Laser Scanner Data,
Ascona97(203-212). BibRef 9700

Haala, N., and Hahn, M.,
Data Fusion for the Detection and Reconstruction of Buildings,
Ascona95(211-220). Combine range (DTM, etc.) with stereo and image data to get a good model for the building. BibRef 9500

Haala, N.[Norbert], Böhm, J.[Jan], Kada, M.[Martin],
Processing of 3D Building Models for Location Aware Applications,
PCV02(A: 138). 0305
BibRef

Haala, N.[Norbert], Böhm, J.[Jan],
A multi-sensor system for positioning in urban environments,
PandRS(58), No. 1, June 2003, pp. 31-42.
WWW Version. 0307
BibRef

Haala, N.[Norbert], Anders, K.H.[Karl-Heinrich],
Acquisition of 3D Urban Models by Analysis of Aerial Images, Digital Surface Models, and Existing 2D Building Information,
SPIE(3072), April 1997, pp. 212-222. BibRef 9704

Haala, N.[Norbert], Brenner, C.[Claus],
Interpretation of Urban Surface Models Using 2d Building Information,
CVIU(72), No. 2, November 1998, pp. 204-214.
WWW Version. BibRef 9811
Earlier: Ascona97(213-222). BibRef

Haala, N.[Norbert], Brenner, C.[Claus],
Virtual City Models from Laser Altimeter and 2D Map Data,
PhEngRS(65), No. 7, July 1999, pp. 787. Use 2D ground plans and a laser digital surface model to derive 3D building geometry BibRef 9907

Haala, N.[Norbert], Brenner, C.[Claus],
Extraction of buildings and trees in urban environments,
PandRS(54), No. 2-3, July 1999, pp. 130-137. In the laser scanner issue. Using range data. BibRef 9907

Haala, N.[Norbert], Kada, M.[Martin],
An update on automatic 3D building reconstruction,
PandRS(65), No. 6, November 2010, pp. 570-580.
Elsevier DOI Link
WWW Version. 1101
Reconstruction; Three-dimensional; Building; Urban; Automation BibRef

Brenner, C., Haala, N., Fritsch, D.[Diter],
Towards Fully Automated 3D City Model Generation,
Ascona01(47-57). Integrate 2-D surface models (maps) with 3D digital surface models. Generate surfaces in 3D data, force to polygonal shapes. 0201
BibRef

Brenner, C.,
Constraints for Modelling Complex Objects,
CMRT05(xx-yy).
PDF Version. 0508
BibRef

Böhm, J., Haala, N.,
Efficient integration of aerial and terrestrial laser data for virtual city modeling using lasermaps,
Laser05(xx-yy).
PDF Version. 0509
BibRef

Grejner-Brzezinska, D.A.[Dorota A.], Li, R.[Ron], Haala, N.[Norbert], Toth, C.K.[Charles K.],
From Mobile Mapping to Telegeoinformatics: Paradigm Shift in Geospatial Data Acquisition, Processing, and Management,
PhEngRS(70), No. 2, February 2004, pp. 197-210.
WWW Version. The mobile mapping systems paradigm has shifted from the post-mission to near-real-time systems due to the technological advances in positioning and imaging sensors, combined with the explosion in wireless mobile communication systems. 0403
BibRef

Kada, M.[Martin], McKinley, L.,
3D Building Reconstruction from Lidar Based on a Cell Decomposition Approach,
CMRT09(47-52).
PDF Version. 0909
BibRef

Haala, N.[Norbert], Becker, S.[Susanne], Kada, M.[Martin],
Cell Decomposition for the Generation of Building Models at Multiple Scales,
PCV06(xx-yy).
PDF Version. 0609
See also Grammar Supported Facade Reconstruction from Mobile Lidar Mapping. BibRef

Gruen, A.[Armin], Wang, X.H.[Xin-Hua],
CC-Modeler: a topology generator for 3-D city models,
PandRS(53), No. 5, October 1998, pp. 286-295. From 3-D point clouds. BibRef 9810

Gruen, A.[Armin], Wang, X.H.[Xin-Hua],
News from CyberCity-Modeler,
Ascona01(93-101). Semi-automated system for buildings and other urban features. Editing functionality, topology, facades. 0201
BibRef

Gruen, A., Dan, H.,
TOBAGO: A Topology Builder for the Automated Generation of Building Models,
Ascona97(149-160). BibRef 9700

Gruen, A.,
TOBAGO: A Semiautomated Approach for the Generation of 3-D Building Models,
PandRS(53), No. 2, April 1998, pp. 108-118. 9805
BibRef

Murai, S.[Shunji], Phonekeo, V.[Vivarad], Ono, K.[Kunihiko], Yasue, S.[Shigetaka],
Development of polygon shift method for generating 3D view map of buildings,
PandRS(54), No. 5-6, December 1999, pp. 342-351. 0002
BibRef

Beraldin, J.A.[J. Angelo], Blais, F., Boulanger, P., Cournoyer, L., Domey, J., El-Hakim, S.F., Godin, G., Rioux, M., Taylor, J.,
Real world modelling through high resolution digital 3D imaging of objects and structures,
PandRS(55), No. 4, November 2000, pp. 230-250. Laser Scanner results, both small scale and building scale. 0101
BibRef

Zimmermann, P.,
Automatic Building Detection Analysing Multiple Curve Data,
Ascona01(151-160). Use colors, edges, textures, plus DSM 0201
BibRef

Murai, S.,
Generation of 3D City Models in Japan: An Overview,
Ascona01(59-64). Modeling from 3D images. 0201
BibRef

Steinle, E., Vögtle, T.,
Automated Extraction and Reconstruction of Buildings in Laser Scanning Data for Disaster Management,
Ascona01(309-318). Use LIDAR to quickly model buildings and detect changes. Approximage buildings by planar faces. 0201
BibRef

Zingaretti, P.[Primo], Frontoni, E.[Emanuele], Forlani, G.[Gianfranco], Nardinocchi, C.[Carla],
Automatic extraction of LIDAR data classification rules,
CIAP07(273-278).
IEEE DOI Link 0709
BibRef

Forlani, G.[Gianfranco], Nardinocchi, C.[Carla],
Adaptive Filtering of Aerial Laser Scanning Data,
Laser07(130).
PDF Version. 0709
BibRef

Nardinocchi, C.[Carla], Forlani, G.[Gianfranco],
Building Detection and Roof Extraction in Laser Scanning Data,
Ascona01(319-328). Remove terrain by smooth interpolation, grow regions to extract elevated areas. Classify regions as slopes, ridges, outlines. Fit planar surfaces. 0201
BibRef

Fuchs, F.,
Building Reconstruction in Urban Environment: A Graph-Based Approach,
Ascona01(205-215). From DEM, generate roof patches, use roof structure. 0201
BibRef

Fujii, K., Arikawa, T.,
Urban object reconstruction using airborne laser elevation image and aerial image,
GeoRS(40), No. 10, October 2002, pp. 2234-2240.
IEEE Top Reference. 0301
BibRef

Rau, J.Y.[Jiann-Yeou], Chen, L.C.[Liang-Chien],
Robust Reconstruction of Building Models from Three-Dimensional Line Segments,
PhEngRS(69), No. 2, February 2003, pp. 181-188. The experimental results indicate that the proposed method can soundly rebuild the topology from 3D line segments and reconstruct building models with up to a 98 percent success rate.
WWW Version. 0304
BibRef

Chen, L.C.[Liang-Chien], Teo, T.A.[Tee-Ann], Hsieh, C.H.[Chi-Heng], Rau, J.Y.[Jiann-Yeou],
Reconstruction of Building Models with Curvilinear Boundaries from Laser Scanner and Aerial Imagery,
PSIVT06(24-33).
Springer DOI Link 0612
BibRef

Hu, J.H.[Jin-Hui], You, S.[Suya], and Neumann, U.[Ulrich],
Approaches to Large-Scale Urban Modeling,
IEEE_CGA(23), No. 6, November/December, 2003, pp. 62-69.
HTML Version. BibRef 0311

Poullis, C.[Charalambos], You, S.[Suya],
Photorealistic Large-Scale Urban City Model Reconstruction,
VCG(15), No. 4, July-August 2009, pp. 654-669.
IEEE DOI Link 0905
Interactive reconstruction of buildings with linear and nonlinear surfaces, and a rendering engine to take advantage of the models. BibRef

Poullis, C.[Charalambos], You, S.[Suya],
3D Reconstruction of Urban Areas,
3DIMPVT11(33-40).
IEEE DOI Link 1109
BibRef
Earlier:
Automatic reconstruction of cities from remote sensor data,
CVPR09(2775-2782).
IEEE DOI Link 0906
See also Vision-Based System For Automatic Detection and Extraction Of Road Networks, A. BibRef

Poullis, C., You, S., and Neumann, U.,
Rapid Creation of Large-Scale Photorealistic Virtual Environments,
VR08(153-160).
IEEE DOI Link 0905
BibRef

Poullis, C.[Charalambos], You, S.[Suya],
Automatic Creation of Massive Virtual Cities,
VR09(199-202).
IEEE DOI Link 0905
BibRef

Wang, L.[Lu], You, S.[Suya], Neumann, U.[Ulrich],
Large-Scale Urban Modeling by Combining Ground Level Panoramic and Aerial Imagery,
3DPVT06(806-813).
IEEE DOI Link 0606
BibRef

Hu, J.H.[Jin-Hui], You, S.[Suya], Neumann, U.[Ulrich],
Integrating LiDAR, Aerial Image and Ground Images for Complete Urban Building Modeling,
3DPVT06(184-191).
IEEE DOI Link 0606
BibRef

Zhou, Q.Y.[Qian-Yi], Neumann, U.[Ulrich],
2.5D building modeling with topology control,
CVPR11(2489-2496).
IEEE DOI Link 1106
BibRef
Earlier:
2.5D Dual Contouring: A Robust Approach to Creating Building Models from Aerial LiDAR Point Clouds,
ECCV10(III: 115-128).
Springer DOI Link 0109
BibRef

Rottensteiner, F.[Franz],
Automatic Generation of High-Quality Building Models from Lidar Data,
IEEE_CGA(23), No. 6, November/December, 2003, pp. 42-50.
HTML Version. BibRef 0311

Rottensteiner, F.[Franz], Briese, C.[Christian],
A New Method for Building Extraction in Urban Areas from High-Resolution LIDAR Data,
PCV02(A: 295). 0305
BibRef

Rottensteiner, F.[Franz],
Consistent Estimation of Building Parameters Considering Geometric Regularities by Soft Constraints,
PCV06(xx-yy).
PDF Version. 0609
BibRef

Rottensteiner, F.[Franz],
Automated Updating of Building Data Bases from Digital Surface Models and Multi-Spectral Images: Potential and Limitations,
ISPRS08(B3a: 265 ff).
PDF Version. 0807
BibRef
Earlier:
Building Change Detection from Digital Surface Models and Multi-Spectral Images,
PIA07(145).
PDF Version. 0711
BibRef

Niemeyer, J., Mallet, C., Rottensteiner, F., Sörgel, U.,
Conditional Random Fields for the Classification of LiDAR Point Clouds,
HighRes11(xx-yy).
PDF Version. 1106
BibRef

Sohn, G.H.[Gun-Ho], Dowman, I.J.[Ian J.],
Data fusion of high-resolution satellite imagery and LiDAR data for automatic building extraction,
PandRS(62), No. 1, May 2007, pp. 43-63.
WWW Version. 0709
BibRef
Earlier:
Extraction of Buildings from High-Resolution Satellite Data,
Ascona01(345-355). Find dominant edge direction to limit edges. 0201
Building extraction; LiDAR; IKONOS; Fusion; Binary space partitioning BibRef

Lu, Y.H.[Yi Hui], Trinder, J.C.[John C.], Kubik, K.[Kurt],
Automatic Building Detection Using the Dempster-Shafer Algorithm,
PhEngRS(72), No. 4, April 2006, pp. 395-404.
WWW Version. 0610
A strategy for the automatic detection of buildings from aerial images using combined image analysis and data fusion. BibRef

Rottensteiner, F., Trinder, J.C., Clode, S.P., Kubik, K., Lovell, B.,
Building detection by Dempster-Shafer fusion of lidar data and multispectral aerial imagery,
ICPR04(II: 339-342).
IEEE DOI Link 0409
BibRef

Rottensteiner, F.[Franz], Trinder, J.[John], Clode, S.P.[Simon P.], Kubik, K.[Kurt],
Building detection by fusion of airborne laser scanner data and multi-spectral images: Performance evaluation and sensitivity analysis,
PandRS(62), No. 2, June 2007, pp. 135-149.
WWW Version. 0709
Building detection; Airborne laser scanning; Data fusion; Classification; Evaluation See also Detection and Vectorization of Roads from Lidar Data. BibRef

Ma, R.J.[Rui-Jin], Meyer, W.[Will],
DTM Generation and Building Detection from Lidar Data,
PhEngRS(71), No. 7, July 2005, pp. 847-854. Describing a method to perform DTM generation and building detection from lidar range data through a segmentation process, and a method to conduct boundary regularization.
WWW Version. 0509
BibRef

Vestri, C.[Christophe],
Using range data in automatic modeling of buildings,
IVC(24), No. 7, July 2006, pp. 709-719.
WWW Version. 0608
Building modeling; DEM; Robust estimation; Planar patch segmentation; Polygonalization; Orthogonalization; Aerial images BibRef

Vestri, C.[Christophe], Devernay, F.,
Using Robust Methods for Automatic Extraction of Buildings,
CVPR01(I:133-138).
IEEE Abstract. 0110
From the DEM, extract buildings. Mostly, find the regions above the ground plane, find planar surfaces, group them, make the boundaries oong straight lines. 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 Link 0609
BibRef

Ortner, M.[Mathias], Descombes, X.[Xavier], Zerubia, J.B.[Josiane B.],
Building Outline Extraction from Digital Elevation Models Using Marked Point Processes,
IJCV(72), No. 2, April 2007, pp. 107-132.
Springer DOI Link 0702
BibRef
Earlier:
Automatic 3D land register extraction from altimetric data in dense urban areas,
INRIARR-4919, 2003.
HTML Version. BibRef
Earlier:
Building Extraction from Digital Elevation Model,
INRIARR-4517, July 2002.
HTML Version. 0211
BibRef

Benedek, C.[Csaba], Descombes, X.[Xavier], Zerubia, J.B.[Josiane B.],
Building Development Monitoring in Multitemporal Remotely Sensed Image Pairs with Stochastic Birth-Death Dynamics,
PAMI(34), No. 1, January 2012, pp. 33-50.
IEEE DOI Link 1112
BibRef
Earlier:
Building extraction and change detection in multitemporal remotely sensed images with multiple birth and death dynamics,
WACV09(1-6).
IEEE DOI Link 0912
See also Building Detection in a Single Remotely Sensed Image with a Point Process of Rectangles. BibRef

Lafarge, F.[Florent], Keriven, R.[Renaud], Bredif, M.[Mathieu], Hiep, V.H.[Vu Hoang],
Hybrid multi-view reconstruction by Jump-Diffusion,
CVPR10(350-357).
IEEE DOI Link Video of talk:
WWW Version. 1006
See also Texture Representation by Geometric Objects using a Jump-Diffusion Process. BibRef

Lafarge, F.[Florent], Keriven, R.[Renaud], Bredif, M.[Mathieu],
Combining meshes and geometric primitives for accurate and semantic modeling,
BMVC09(xx-yy).
PDF Version. 0909
BibRef

Lafarge, F.[Florent], Descombes, X.[Xavier], Zerubia, J.B.[Josiane B.], Pierrot-Deseilligny, M.[Marc],
Structural Approach for Building Reconstruction from a Single DSM,
PAMI(32), No. 1, January 2010, pp. 135-147.
IEEE DOI Link 0912
Buildings are assemblies of 3-D blocks (e.g. Lego) extracted from the DSM. BibRef

Lafarge, F.[Florent], Durup, M.[Mélanie], Descombes, X.[Xavier], Zerubia, J.B.[Josiane B.], Pierrot-Deseilligny, M.[Marc],
A New Computationally Efficient Stochastic Approach for Building Reconstruction from Satellite Data,
ISPRS08(B3a: 259 ff).
PDF Version. 0807
BibRef

Ortner, M.[Mathias], Descombes, X.[Xavier], Zerubia, J.B.[Josiane B.],
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models,
PAMI(30), No. 1, January 2008, pp. 105-119.
IEEE DOI Link 0711
BibRef
Earlier: INRIARR-5712, 2005.
HTML Version. BibRef

Forberg, A.[Andrea],
Generalization of 3D building data based on a scale-space approach,
PandRS(62), No. 2, June 2007, pp. 104-111.
WWW Version. 0709
Multi-resolution representation; Generalization; Three-dimensional building model; Image analysis; Rectification 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 Version. 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 Link 1003
BibRef
Earlier:
Building Roof Segmentation and Modeling from LIDAR Point Clouds Using Machine Learning Techniques,
ISPRS08(B3a: 279 ff).
PDF Version. 0807
BibRef

Monserrat, O., Crosetto, M.,
Deformation measurement using terrestrial laser scanning data and least squares 3D surface matching,
PandRS(63), No. 1, January 2008, pp. 142-154.
WWW Version. 0711
Laser scanning; TLS; Point cloud; Estimation; Matching; Error; Landslides BibRef

Monserrat, O., Crosetto, M., Pucci, B.,
TLS Deformation Measurement Using LS3D Surface and Curve Matching,
ISPRS08(B5: 591 ff).
PDF Version. 0807
BibRef

Crosetto, M., Monserrat, O., Jungner, A., Crippa, B.,
Persistent Scatterer Interferometry: potential and limits,
HighRes09(xx-yy).
PDF Version. 0906
BibRef

Lee, D.H.[Dong Hyuk], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Fusion of Lidar and Imagery for Reliable Building Extraction,
PhEngRS(74), No. 2, February 2008, pp. 215-226.
WWW Version. 0803
The fusion of lidar and photogrammetric imagery for precise and automatic building extraction using line segments matching and perceptual grouping. BibRef

Chen, J.[Jie], Chen, B.Q.[Bao-Quan],
Architectural Modeling from Sparsely Scanned Range Data,
IJCV(78), No. 2-3, July 2008, pp. 223-236.
Springer DOI Link 0803
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 Link
WWW Version. 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 Version. 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 Link 0709
BibRef

Lafarge, F.[Florent], Descombes, X.[Xavier], Zerubia, J.B.[Josiane B.], Pierrot-Deseilligny, M.[Marc],
Automatic Building Extraction from DEMs Using an Object Approach and Application to the 3D-City Modeling,
PandRS(63), No. 3, May 2008, pp. 365-381.
WWW Version. 0711
BibRef
And:
Building reconstruction from a single DEM,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef
Earlier:
3D City Modeling Based on Hidden Markov Model,
ICIP07(II: 521-524).
IEEE DOI Link 0709
BibRef
Earlier:
An Automatic Building Reconstruction Method: A Structural Approach using High Resolution Satellite Images,
ICIP06(1205-1208).
IEEE DOI Link 0610
BibRef
Earlier:
A Parametric Model for Automatic 3D Building Reconstruction from High Resolution Satellite Images,
INRIARR-5687, 2005.
HTML Version. Building extraction; High resolution satellite data; Digital Elevation Model; Marked point processes; RJMCMC See also Automatic GIS Updating from High Resolution Satellite Images. BibRef

Garcin, L.[Laurent], Descombes, X.[Xavier], Zerubia, J.B.[Josiane B.], Le Men, H.[Herve],
Building Detection by Markov Object processes and a MCMC Algorithm,
INRIARR-4206, June 2001.
HTML Version. 0211
BibRef
And: A1, A2, A4, A3:
Building Detection by Markov Object Processes,
ICIP01(II: 565-568).
IEEE Abstract. 0108
BibRef

Sohn, G.[Gunho], Huang, X.F.[Xian-Feng], Tao, V.[Vincent],
Using a Binary Space Partitioning Tree for Reconstructing Polyhedral Building Models from Airborne Lidar Data,
PhEngRS(74), No. 11, November 2008, pp. 1425-1440.
WWW Version. 0804
A complex building model, which includes a mixture of fl at and sloped planes, is simultaneously reconstructed using a coarse to fine approach accomplished by recursively partitioning an initial building region with data-driven linear features into a set of convex planar polygons having maximal co-planarity. 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 Version. 0807
BibRef

Beumier, C.[Charles],
Building Verification from Disparity of Contour Points,
IPTA08(1-6).
IEEE DOI Link 0811
BibRef

Chen, L.C.[Liang-Chien], Teo, T.A.[Tee-Ann], Kuo, C.Y.[Chih-Yi], Rau, J.Y.[Jiann-Yeou],
Shaping Polyhedral Buildings by the Fusion of Vector Maps and Lidar Point Clouds,
PhEngRS(74), No. 9, September 2008, pp. 1147-1158.
WWW Version. 0804
A scheme for the shaping of polyhedral buildings by the fusion of vector maps and lidar point clouds. BibRef

Rau, J.Y.[Jiann-Yeou], Teo, T.A.[Tee-Ann], Chen, L.C.[Liang-Chien], Tsai, F.[Fuan], Hsiao, K.H.[Kuo-Hsin], Hsu, W.C.[Wei-Chen],
Integration of GPS, GIS and Photogrammetry for Texture Mapping in Photo-Realistic City Modeling,
PSIVT06(1283-1292).
Springer DOI Link 0612
BibRef

Matikainen, L.[Leena], Hyyppä, J.[Juha], Kaartinen, H.[Harri],
Comparison Between First Pulse and Last Pulse Laser Scanner Data in the Automatic Detection of Buildings,
PhEngRS(75), No. 2, February 2009, pp. 133-146.
WWW Version. 0902
BibRef
Earlier: A1, A3, A2:
Classification Tree Based Building Detection From Laser Scanner and Aerial Image Data,
Laser07(280).
PDF Version. 0709
The use of last pulse instead of first pulse laser scanner data can improve the results of automatic building detection especially by decreasing the number of classification errors in the surroundings of the buildings and the number of false detections. BibRef

Akel, N.A.[Nizar Abo], Filin, S.[Sagi], Doytsher, Y.[Yerach],
Reconstruction of Complex Shape Buildings from Lidar Data Using Free Form Surfaces,
PhEngRS(75), No. 3, March 2009, pp. 271-280.
WWW Version. 0903
A lidar-based building-extraction model that supports the reconstruction of buildings with general, free-form shapes. See also Orthogonal Polynomials Supported by Regional Growing Segmentation for the Extraction of Terrain from Lidar Data. See also Polygonal Approach for Automation in Extraction of Serial Modular Roofs, A. BibRef

Cheuk, M.L.[Mang Lung], Yuan, M.[May],
Assessing Spatial Uncertainty of Lidar-derived Building Model: A Case Study in Downtown Oklahoma City,
PhEngRS(75), No. 3, March 2009, pp. 257-270.
WWW Version. 0903
Research assessing the spatial uncertainty of lidar-derived building model using downtown Oklahoma City as an example. BibRef

Meng, X.L.[Xue-Lian], Wang, L.[Le], Currit, N.[Nate],
Morphology-based Building Detection from Airborne Lidar Data,
PhEngRS(75), No. 4, April 2009, pp. 437-444.
WWW Version. 0903
A morphological building detecting method to extract buildings by gradually removing non-building pixels based on ground filtering, size, shape, height, element structure, and the elevation difference between the first and last returns from interpolated lidar data. See also multi-directional ground filtering algorithm for airborne LIDAR, A. BibRef