22.5.1 DEM, DSM, DTM, Generation in Urban Areas

Chapter Contents (Back)
Digital Elevation Map. Urban, DEM.

Gabet, L., Giraudon, G., Renouard, L.,
Automatic-Generation of High-Resolution Urban Zone Digital Elevation Models,
PandRS(52), No. 1, February 1997, pp. 33-47. 9703
BibRef

Davis, C.H.[Curt H.], Wang, X.Y.[Xiang-Yun],
High-Resolution DEMs for Urban Applications from NAPP Photography,
PhEngRS(67), No. 5, May 2001, pp. 585-592. 0106
1:40,000-scale NAPP aerial photography, in conjunction with precision ground control, can be used to generate DEMs with horizontal resolutions of 1 to 3 meters and vertical accuracies of 1.8 to 2.5 meters. See also Automated Building Extraction from High-Resolution Satellite Imagery in Urban Areas Using Structural, Contextual, and Spectral Information. BibRef

Shan, J.[Jie], Sampath, A.[Aparajithan],
Urban DEM Generation from Raw Lidar Data: A Labeling Algorithm and its Performance,
PhEngRS(71), No. 2, February 2005, pp. 217.
WWW Link. An efficient one-dimensional, bi-directional labeling approach for generating bald ground DEM from raw lidar data in complex urban areas. 0509
See also Building Boundary Tracing and Regularization from Airborne Lidar Point Clouds. BibRef

Perissin, D., Rocca, F.,
High-Accuracy Urban DEM Using Permanent Scatterers,
GeoRS(44), No. 11, November 2006, pp. 3338-3347.
IEEE DOI 0611
BibRef

Perissin, D., Ferretti, A.[Alessandro],
Urban-Target Recognition by Means of Repeated Spaceborne SAR Images,
GeoRS(45), No. 12, December 2007, pp. 4043-4058.
IEEE DOI 0711
BibRef

Chehata, N., Jung, F., Stamon, G.,
A graph cut optimization guided by 3D-features for surface height recovery,
PandRS(64), No. 2, March 2009, pp. 193-203.
Elsevier DOI 0903
Stereoscopic; Urban; High resolution satellite images; Surface modeling; Graph cut optimization BibRef

Susaki, J.,
Adaptive Slope Filtering of Airborne LiDAR Data in Urban Areas for Digital Terrain Model (DTM) Generation,
RS(4), No. 6, June 2012, pp. 1804-1819.
DOI Link 1208
See also Segmentation of Shadowed Buildings in Dense Urban Areas from Aerial Photographs. BibRef

Susaki, J.[Junichi],
Knowledge-Based Modeling of Buildings in Dense Urban Areas by Combining Airborne LiDAR Data and Aerial Images,
RS(5), No. 11, 2013, pp. 5944-5968.
DOI Link 1312
BibRef

Chen, Z.Y.[Zi-Yue], Devereux, B.[Bernard], Gao, B.B.[Bing-Bo], Amable, G.[Gabriel],
Upward-fusion urban DTM generating method using airborne Lidar data,
PandRS(72), No. 1, August 2012, pp. 121-130.
Elsevier DOI 1209
Airborne Lidar; Upward-fusion; GIS; Generation; DTM; Urban BibRef

Rossi, C.[Cristian], Gernhardt, S.[Stefan],
Urban DEM generation, analysis and enhancements using TanDEM-X,
PandRS(85), No. 1, 2013, pp. 120-131.
Elsevier DOI 1310
TanDEM-X BibRef

Palm, S., Oriot, H.M., Cantalloube, H.M.,
Radargrammetric DEM Extraction Over Urban Area Using Circular SAR Imagery,
GeoRS(50), No. 11, November 2012, pp. 4720-4725.
IEEE DOI 1210
BibRef

Palm, S., Pohl, N., Stilla, U.,
Challenges and Potentials Using Multi Aspect Coverage of Urban Scenes by Airborne SAR on Circular Trajectories,
PIA15(149-154).
DOI Link 1504
BibRef

Shabou, A., Baselice, F., Ferraioli, G.,
Urban Digital Elevation Model Reconstruction Using Very High Resolution Multichannel InSAR Data,
GeoRS(50), No. 11, November 2012, pp. 4748-4758.
IEEE DOI 1210
BibRef

Geiss, C., Wurm, M., Breunig, M., Felbier, A., Taubenbock, H.,
Normalization of TanDEM-X DSM Data in Urban Environments With Morphological Filters,
GeoRS(53), No. 8, August 2015, pp. 4348-4362.
IEEE DOI 1506
geomorphology BibRef

Budillon, A.[Alessandra], Johnsy, A.C.[Angel Caroline], Schirinzi, G.[Gilda],
Extension of a Fast GLRT Algorithm to 5D SAR Tomography of Urban Areas,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Panagiotakis, E.[Emmanouil], Chrysoulakis, N.[Nektarios], Charalampopoulou, V.[Vasiliki], Poursanidis, D.[Dimitris],
Validation of Pleiades Tri-Stereo DSM in Urban Areas,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Hou, Y.L.[Yao-Lin], Peng, J.W.[Jian-Wei], Hu, Z.H.[Zhi-Hua], Tao, P.J.[Peng-Jie], Shan, J.[Jie],
Planarity constrained multi-view depth map reconstruction for urban scenes,
PandRS(139), 2018, pp. 133-145.
Elsevier DOI 1804
Planarity constraint, Multi-view depth map, Optimization, Segmentation, PatchMatch BibRef

Wu, B.[Bo], Xie, L.[Linfu], Hu, H.[Han], Zhu, Q.[Qing], Yau, E.[Eric],
Integration of aerial oblique imagery and terrestrial imagery for optimized 3D modeling in urban areas,
PandRS(139), 2018, pp. 119-132.
Elsevier DOI 1804
Aerial oblique imagery, Terrestrial imagery, Photogrammetry, 3D modeling BibRef


Schachtschneider, J., Schlichting, A., Brenner, C.,
Assessing Temporal Behavior in Lidar Point Clouds of Urban Environments,
Hannover17(543-550).
DOI Link 1805
BibRef

Rothermel, M.[Mathias], Haala, N.[Norbert], Wenzel, K.[Konrad], Bulatov, D.[Dimitri],
Fast and Robust Generation of Semantic Urban Terrain Models from UAV Video Streams,
ICPR14(592-597)
IEEE DOI 1412
Buildings BibRef

Rossi, C., Fritz, T., Eineder, M., Erten, E., Zhu, X.X., Gernhardt, S.,
Towards an Urban DEM Generation With Satellite SAR Interferometry,
ISPRS12(XXXIX-B7:73-78).
DOI Link 1209
BibRef

Aktaruzzaman, M.D., Schmitt, T.[Theo],
LiDAR-data: automatic object detection for urban flooding models.,
CGC10(83).
PDF File. 1006
BibRef
Earlier:
Detailed Digital Surface Model (DSM) Generation and Automatic Object Detection to Facilitate Modelling of Urban Flooding,
HighRes09(xx-yy).
PDF File. 0906
BibRef

Elaksher, A.F.[Ahmed F.],
A framework for generating high quality digital elevation models in urban areas,
Southwest08(169-172).
IEEE DOI 0803
BibRef

Jalobeanu, A., Fitzenz, D.D.,
Robust Disparity Maps with Uncertainties for 3D Surface Reconstruction or Ground Motion Inference,
PIA07(71).
PDF File. 0711
Include uncertainity estimation in computation. BibRef

Champion, N.[Nicolas], Boldo, D.[Didier],
A Robust Algorithm for Estimating Digital Terrain Models from Digital Surface Models in Dense Urban Areas,
PCV06(xx-yy).
PDF File. 0609
BibRef

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
DEM, DSM, DTM, Generation Using Radar, SAR, IFSAR, INSAR, InSAR .


Last update:Nov 17, 2018 at 09:12:27