RPC STEREO PROCESSOR (RSP) – A SOFTWARE PACKAGE FOR DIGITAL SURFACE MODEL AND ORTHOPHOTO GENERATION FROM SATELLITE STEREO IMAGERY

20 citations as recorded by crossref.

1. Estimating the Height and Basal Area at Individual Tree and Plot Levels in Canadian Subarctic Lichen Woodlands Using Stereo WorldView-3 Images B. St-Onge & S. Grandin https://doi.org/10.3390/rs11030248
2. Deep Learning-Based Digital Surface Model Reconstruction of ZY-3 Satellite Imagery Y. Zhao et al. https://doi.org/10.3390/rs16142567
3. Rapid Fine-Grained Damage Assessment of Buildings on a Large Scale: A Case Study of the February 2023 Earthquake in Turkey Z. Hong et al. https://doi.org/10.1109/JSTARS.2024.3362809
4. Using PlanetScope-derived time-series elevation models and orthophotos to track glacier 3D dynamics in mid-latitude mountain regions S. Gui & R. Qin https://doi.org/10.1080/15481603.2025.2507470
5. Quality assessment of digital surface models extracted from WorldView-2 and WorldView-3 stereo pairs over different land covers M. Aguilar et al. https://doi.org/10.1080/15481603.2018.1494408
6. Cross-view SLAM solver: Global pose estimation of monocular ground-level video frames for 3D reconstruction using a reference 3D model from satellite images M. Elhashash & R. Qin https://doi.org/10.1016/j.isprsjprs.2022.03.018
7. TS-SatMVSNet: Slope Aware Height Estimation for Large-Scale Earth Terrain Multiview Stereo Z. Wei et al. https://doi.org/10.1109/TGRS.2025.3637204
8. Angular difference feature extraction for urban scene classification using ZY-3 multi-angle high-resolution satellite imagery X. Huang et al. https://doi.org/10.1016/j.isprsjprs.2017.11.017
9. Satellite–Derived Topography and Morphometry for VHR Coastal Habitat Mapping: The Pleiades–1 Tri–Stereo Enhancement D. James et al. https://doi.org/10.3390/rs14010219
10. Remote Sensing Object Detection in the Deep Learning Era—A Review S. Gui et al. https://doi.org/10.3390/rs16020327
11. Estimating canopy height change using machine learning by coupling WorldView-2 stereo imagery with Landsat-7 data J. Wang et al. https://doi.org/10.1080/01431161.2023.2169596
12. Sat-Mesh: Learning Neural Implicit Surfaces for Multi-View Satellite Reconstruction Y. Qu & F. Deng https://doi.org/10.3390/rs15174297
13. Automated LoD-2 model reconstruction from very-high-resolution satellite-derived digital surface model and orthophoto S. Gui & R. Qin https://doi.org/10.1016/j.isprsjprs.2021.08.025
14. UnDER: Unsupervised Dense Point Cloud Extraction Routine for UAV Imagery Using Deep Learning J. Bergado & F. Nex https://doi.org/10.3390/rs17010024
15. Monitoring 3D Building Change and Urban Redevelopment Patterns in Inner City Areas of Chinese Megacities Using Multi-View Satellite Imagery D. Wen et al. https://doi.org/10.3390/rs11070763
16. Digital Surface Model Generation from Satellite Images Based on Double-Penalty Bundle Adjustment Optimization H. Li et al. https://doi.org/10.3390/app14177777
17. ResDepth: A deep residual prior for 3D reconstruction from high-resolution satellite images C. Stucker & K. Schindler https://doi.org/10.1016/j.isprsjprs.2021.11.009
18. A method for direct refinement of satellite images’ RPCs aimed preventing the overfitting problems F. Ghafourifar & A. Safdarinezhad https://doi.org/10.1016/j.measurement.2026.122067
19. Large-Scale and Efficient Texture Mapping Algorithm via Loopy Belief Propagation X. Ling & R. Qin https://doi.org/10.1109/TGRS.2023.3274091
20. Refined equivalent pinhole model for large-scale 3D reconstruction from spaceborne CCD imagery D. Hong et al. https://doi.org/10.1016/j.jag.2024.104164