UNCERTAINTY ASSESSMENT AND WEIGHT MAP GENERATION FOR EFFICIENT FUSION OF TANDEM-X AND CARTOSAT-1 DEMS

5 citations as recorded by crossref.

1. Improving the resolution of solar energy potential maps derived from global DSMs for rooftop solar panel placement using deep learning M. Hosseini & H. Bagheri https://doi.org/10.1016/j.heliyon.2024.e41193
2. Fusion of multiple photogrammetric DEMs for large-scale lunar topographic mapping R. Huang et al. https://doi.org/10.1016/j.asr.2025.01.001
3. LOD1 3D city model from LiDAR: The impact of segmentation accuracy on quality of urban 3D modeling and morphology extraction F. Chajaei & H. Bagheri https://doi.org/10.1016/j.rsase.2025.101534
4. Fusion of Urban TanDEM-X Raw DEMs Using Variational Models H. Bagheri et al. https://doi.org/10.1109/JSTARS.2018.2878608
5. Fusion of TanDEM-X and Cartosat-1 elevation data supported by neural network-predicted weight maps H. Bagheri et al. https://doi.org/10.1016/j.isprsjprs.2018.07.007