23.4.1 DEM, DSM, DTM, Generation Using UAV

Chapter Contents (Back)
Digital Elevation Map. UAV. Focus is on low-cost systems rather than expensive cameras. The general section:
See also Terrain Extraction, DEM, DTM, DSM.

Nagai, M., Chen, T., Shibasaki, R., Kumagai, H., Ahmed, A.,
UAV-Borne 3-D Mapping System by Multisensor Integration,
GeoRS(47), No. 3, March 2009, pp. 701-708.
IEEE DOI 0903
BibRef

Ai, M.Y.[Ming-Yao], Hu, Q.W.[Qing-Wu], Li, J.Y.[Jia-Yuan], Wang, M.[Ming], Yuan, H.[Hui], Wang, S.H.[Shao-Hua],
A Robust Photogrammetric Processing Method of Low-Altitude UAV Images,
RS(7), No. 3, 2015, pp. 2302-2333.
DOI Link 1504
Distortion, illumination variance, and large rotation angles due to low altitude. Choosing ground control points. BibRef

Lari, Z.[Zahra], El-Sheimy, N.[Naser], Habib, A.[Ayman],
A New Approach for Realistic 3D Reconstruction of Planar Surfaces from Laser Scanning Data and Imagery Collected Onboard Modern Low-Cost Aerial Mapping Systems,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Lari, Z.[Zahra], Al-Rawabdeh, A.[Abdulla], He, F.N.[Fang-Ning], Habib, A.[Ayman], El-Sheimy, N.[Naser],
Region-Based 3D Surface Reconstruction Using Images Acquired by Low-Cost Unmanned Aerial Systems,
UAV-g15(167-173).
DOI Link 1512
BibRef

Tonkin, T.N.[Toby N.], Midgley, N.G.[Nicholas G.],
Ground-Control Networks for Image Based Surface Reconstruction: An Investigation of Optimum Survey Designs Using UAV Derived Imagery and Structure-from-Motion Photogrammetry,
RS(8), No. 9, 2016, pp. 786.
DOI Link 1610
BibRef

Xu, Z.H.[Zhi-Hua], Wu, L.X.[Li-Xin], Gerke, M.[Markus], Wang, R.[Ran], Yang, H.[Huachao],
Skeletal camera network embedded structure-from-motion for 3D scene reconstruction from UAV images,
PandRS(121), No. 1, 2016, pp. 113-127.
Elsevier DOI 1609
3D scene reconstruction BibRef

Li, J., Liu, Y., Du, S., Wu, P., Xu, Z.,
Hierarchical and Adaptive Phase Correlation for Precise Disparity Estimation of UAV Images,
GeoRS(54), No. 12, December 2016, pp. 7092-7104.
IEEE DOI 1612
autonomous aerial vehicles BibRef

Meng, X.L.[Xue-Lian], Shang, N.[Nan], Zhang, X.K.[Xu-Kai], Li, C.Y.[Chun-Yan], Zhao, K.G.[Kai-Guang], Qiu, X.M.[Xiao-Min], Weeks, E.[Eddie],
Photogrammetric UAV Mapping of Terrain under Dense Coastal Vegetation: An Object-Oriented Classification Ensemble Algorithm for Classification and Terrain Correction,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Gevaert, C.M.[Caroline M.], Persello, C.[Claudio], Nex, F., Vosselman, G.[George],
A deep learning approach to DTM extraction from imagery using rule-based training labels,
PandRS(142), 2018, pp. 106-123.
Elsevier DOI 1807
Digital Terrain Models (DTM), Unmanned Aerial Vehicles (UAV), Aerial photogrammetry, Deep learning, Fully Convolutional Networks (FCN) BibRef

Gruszczynski, W.[Wojciech], Puniach, E.[Edyta], Cwiakala, P.[Pawel], Matwij, W.[Wojciech],
Application of convolutional neural networks for low vegetation filtering from data acquired by UAVs,
PandRS(158), 2019, pp. 1-10.
Elsevier DOI 1912
Unmanned aerial vehicle, Digital elevation model, Ground filter, Convolutional neural networks BibRef

Na, J.M.[Jia-Ming], Xue, K.[Kaikai], Xiong, L.Y.[Li-Yang], Tang, G.[Guoan], Ding, H.[Hu], Strobl, J.[Josef], Pfeifer, N.[Norbert],
UAV-Based Terrain Modeling under Vegetation in the Chinese Loess Plateau: A Deep Learning and Terrain Correction Ensemble Framework,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Jiménez-Jiménez, S.I.[Sergio Iván], Ojeda-Bustamante, W.[Waldo], de Jesús Marcial-Pablo, M.[Mariana], Enciso, J.[Juan],
Digital Terrain Models Generated with Low-Cost UAV Photogrammetry: Methodology and Accuracy,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Enwright, N.M.[Nicholas M.], Kranenburg, C.J.[Christine J.], Patton, B.A.[Brett A.], Dalyander, P.S.[P. Soupy], Brown, J.A.[Jenna A.], Piazza, S.C.[Sarai C.], Cheney, W.C.[Wyatt C.],
Developing bare-earth digital elevation models from structure-from-motion data on barrier islands,
PandRS(180), 2021, pp. 269-282.
Elsevier DOI 2109
Unoccupied aerial systems, Marsh, Dune, Machine learning, Elevation bias, Remote sensing BibRef


Polat, N., Uysal, M.,
DTM Generation with UAV Based Photogrammetric Point Cloud,
GeoAdvances17(77-79).
DOI Link 1805
BibRef

Rhee, S., Kim, T.,
Dense 3d Point Cloud Generation From UAV Images From Image Matching And Global Optimazation,
ISPRS16(B1: 1005-1009).
DOI Link 1610
BibRef

Serifoglu, C., Gungor, O., Yilmaz, V.,
Performance Evaluation Of Different Ground Filtering Algorithms For UAV-based Point Clouds,
ISPRS16(B1: 245-251).
DOI Link 1610
BibRef

Rosu, A.M., Assenbaum, M., de la Torre, Y., Pierrot-Deseilligny, M.,
Coastal Digital Surface Model on Low Contrast Images,
GeoUAV15(307-312).
DOI Link 1602
BibRef

He, F., Habib, A., Al-Rawabdeh, A.,
Planar Constraints for an Improved UAV-Image-Based Dense Point Cloud Generation,
UAV-g15(269-274).
DOI Link 1512
BibRef

Dayamit, O.M., Pedro, M.F., Ernesto, R.R., Fernando, B.L.,
Digital Elevation Model from Non-Metric Camera in UAS Compared with LIDAR Technology,
UAV-g15(411-414).
DOI Link 1512
BibRef

Tampubolon, W., Reinhardt, W.,
UAV Data Processing for Rapid Mapping Activities,
GeoUAV15(371-377).
DOI Link 1602
BibRef
And:
Analysis of Radar and Optical Space Borne Data for Large Scale Topographical Mapping,
PIA15(235-242).
DOI Link 1504
BibRef
Earlier:
UAV Data Processing for Large Scale Topographical Mapping,
CloseRange14(565-572).
DOI Link 1411
BibRef

Anai, T., Sasaki, T., Otani, H., Osaragi, K., Kochi, N.,
Aerial photogrammetry procedure optimized for micro UAV,
CloseRange14(41-46).
DOI Link 1411
BibRef

He, H.Y.[Hong-Yan], Zhou, N.[Nan], Yue, C.Y.[Chun-Yu],
POS-Supported Automatic Digital Surface Model (DSM) Generation,
UAV-g13(207-210).
DOI Link 1311
BibRef

Greiwe, A., Gehrke, R., Spreckels, V., Schlienkamp, A.,
Aspects of DEM Generation from UAS Imagery,
UAV-g13(163-167).
HTML Version. 1311
BibRef

Rhee, S., Kim, T.,
Automated DSM Extraction from UAV Images and Performance Analysis,
UAV-g15(351-354).
DOI Link 1512
BibRef

Kim, T., Rhee, S.,
DEM Generation from High Resolution Satellite Images through a new 3D Least Squares Matching Algorithm,
HighRes11(xx-yy).
PDF File. 1106
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
DEM, DSM, DTM, Generation in Urban Areas .


Last update:Oct 24, 2021 at 16:35:58