NEW DTM EXTRACTION APPROACH FROM AIRBORNE IMAGES DERIVED DSM

13 citations as recorded by crossref.

1. 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
2. Recurrent Multiresolution Convolutional Networks for VHR Image Classification J. Bergado et al. 10.1109/TGRS.2018.2837357
3. Building detection and regularisation using DSM and imagery information Y. Mousa et al. 10.1111/phor.12275
4. Extraction of building roof planes with stratified random sample consensus A. Carrilho & M. Galo 10.1111/phor.12254
5. Automatic Identification of Shrub-Encroached Grassland in the Mongolian Plateau Based on UAS Remote Sensing Y. Dong et al. 10.3390/rs11131623
6. Mapping with Pléiades—End-to-End Workflow R. Perko et al. 10.3390/rs11172052
7. Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey N. Qin et al. 10.1016/j.jag.2023.103566
8. 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
9. A Novel Deep Learning Approach for High-Resolution Satellite-Based DEM Filtering J. Singla et al. 10.1007/s12524-024-01902-5
10. 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
11. Filtering of remote sensing point clouds using fuzzy C-means clustering M. Salah 10.1007/s12518-020-00299-3
12. 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
13. 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