ADVANCED DTM GENERATION FROM VERY HIGH RESOLUTION SATELLITE STEREO IMAGES

26 citations as recorded by crossref.

1. A Novel Deep Learning Approach for High-Resolution Satellite-Based DEM Filtering J. Singla et al. 10.1007/s12524-024-01902-5
2. Automatic 3D building reconstruction from multi-view aerial images with deep learning D. Yu et al. 10.1016/j.isprsjprs.2020.11.011
3. Analysis and Processing of Nadir and Stereo VHR Pleiadés Images for 3D Mapping and Planning the Land of Nineveh, Iraqi Kurdistan E. Malinverni et al. 10.3390/geosciences7030080
4. Validation of Pleiades Tri-Stereo DSM in Urban Areas E. Panagiotakis et al. 10.3390/ijgi7030118
5. Classification of airborne 3D point clouds regarding separation of vegetation in complex environments D. Bulatov et al. 10.1364/AO.422973
6. Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest—Part A S. Kunwar et al. 10.1109/JSTARS.2020.3032221
7. An Image-Segmentation-Based Urban DTM Generation Method Using Airborne Lidar Data Z. Chen et al. 10.1109/JSTARS.2015.2512498
8. Terrain Extraction in Built-Up Areas from Satellite Stereo-Imagery-Derived Surface Models: A Stratified Object-Based Approach F. Luethje et al. 10.3390/ijgi6010009
9. Estimating Bare Earth in Sparse Boreal Forests With WorldView Stereo Imagery C. Neigh et al. 10.1109/LGRS.2021.3112387
10. Mapping with Pléiades—End-to-End Workflow R. Perko et al. 10.3390/rs11172052
11. Simulation-Based Interpretation and Alignment of High-Resolution Optical and SAR Images S. Auer et al. 10.1109/JSTARS.2017.2723082
12. Presenting a morphological based approach for filtering the point cloud to extract the digital terrain model B. Bigdeli et al. 10.52547/jgit.6.3.67
13. Application of High‐Resolution Remote Sensing Image for Individual Tree Identification of Pinus sylvestris and Pinus tabulaeformis H. Li et al. 10.1155/2021/7672762
14. Presenting a morphological based approach for filtering the point cloud to extract the digital terrain model B. Bigdeli et al. 10.29252/jgit.6.3.75
15. Building Stock and Building Typology of Kigali, Rwanda F. Bachofer et al. 10.3390/data4030105
16. Deep learning for filtering the ground from ALS point clouds: A dataset, evaluations and issues N. Qin et al. 10.1016/j.isprsjprs.2023.06.005
17. GIS-based detection of terraced landscape heritage: comparative tests using regional DEMs and UAV data A. Spanò et al. 10.1007/s12518-018-0205-7
18. Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey N. Qin et al. 10.1016/j.jag.2023.103566
19. Urban Building Height Extraction from Gaofen-7 Stereo Satellite Images Enhanced by Contour Matching Y. Cui et al. 10.3390/rs16091556
20. Combination of Aerial, Satellite, and UAV Photogrammetry for Mapping the Diachronic Coastline Evolution: The Case of Lefkada Island K. Nikolakopoulos et al. 10.3390/ijgi8110489
21. A Two-Step Semiglobal Filtering Approach to Extract DTM From Middle Resolution DSM Y. Zhang et al. 10.1109/LGRS.2017.2725909
22. Filtering of remote sensing point clouds using fuzzy C-means clustering M. Salah 10.1007/s12518-020-00299-3
23. A localized counter-based filtering approach for generating digital terrain model from medium resolution digital surface model R. Jaganathan et al. 10.1080/10106049.2022.2076920
24. Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City P. Misra et al. 10.3390/rs10122008
25. Evaluation and Analysis of Ground Filtering Algorithms for Building Height Estimation on Satellite-Based High-Resolution DEM Data H. Patel & J. Singla 10.1007/s12524-022-01659-9
26. 3-D Building Instance Extraction From High-Resolution Remote Sensing Images and DSM With an End-to-End Deep Neural Network D. Yu et al. 10.1109/TGRS.2024.3383432