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1:40,000-scale NAPP aerial photography, in conjunction with
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BibRef
Shan, J.[Jie],
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Airborne Lidar; Upward-fusion; GIS; Generation; DTM; Urban
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TanDEM-X
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geomorphology
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Budillon, A.[Alessandra],
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Panagiotakis, E.[Emmanouil],
Chrysoulakis, N.[Nektarios],
Charalampopoulou, V.[Vasiliki],
Poursanidis, D.[Dimitris],
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IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link
1804
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Hou, Y.L.[Yao-Lin],
Peng, J.W.[Jian-Wei],
Hu, Z.H.[Zhi-Hua],
Tao, P.J.[Peng-Jie],
Shan, J.[Jie],
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scenes,
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Elsevier DOI
1804
Planarity constraint, Multi-view depth map, Optimization,
Segmentation, PatchMatch
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Hu, Z.H.[Zhi-Hua],
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Tao, P.J.[Peng-Jie],
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2110
Triangulation, Multi-view reconstruction, Depth map,
Urban scenes, Continuity constraints
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Wu, B.[Bo],
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Hu, H.[Han],
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1804
Aerial oblique imagery, Terrestrial imagery, Photogrammetry, 3D modeling
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Shirowzhan, S.[Sara],
Sepasgozar, S.M.E.[Samad M. E.],
Spatial Analysis Using Temporal Point Clouds in Advanced GIS:
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Rambour, C.[Clément],
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Tomographic SAR inversion, Dense urban areas, Graph cut,
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Strain, Synthetic aperture radar, Deformable models,
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of Manhattan-World Buildings,
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Jamali, A.,
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1901
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Schachtschneider, J.,
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Assessing Temporal Behavior in Lidar Point Clouds of Urban Environments,
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1805
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Rothermel, M.[Mathias],
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ICPR14(592-597)
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1412
Buildings
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Rossi, C.,
Fritz, T.,
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Erten, E.,
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1209
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Aktaruzzaman, M.D.,
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LiDAR-data: automatic object detection for urban flooding models.,
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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).
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Jalobeanu, A.,
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Robust Disparity Maps with Uncertainties for 3D Surface Reconstruction
or Ground Motion Inference,
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0711
Include uncertainity estimation in computation.
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Champion, N.[Nicolas],
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0609
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
DEM, DSM, DTM, Generation Using Radar, SAR, IFSAR, INSAR, InSAR .