AUTOMATIC CLOUD DETECTION FROM MULTI-TEMPORAL SATELLITE IMAGES: TOWARDS THE USE OF PLÉIADES TIME SERIES

11 citations as recorded by crossref.

1. Divergent dynamics of coastal wetlands in the world’s major river deltas during 1990–2019 Y. Liu et al.
2. Classification of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system A. Michez et al.
3. Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery M. Czerkawski et al.
4. Detection and Removal of Clouds and Associated Shadows in Satellite Imagery Based on Simulated Radiance Fields T. Wang et al.
5. Toward a Satellite-Based System of Sugarcane Yield Estimation and Forecasting in Smallholder Farming Conditions: A Case Study on Reunion Island J. Morel et al.
6. Restoration of remote satellite sensing images using machine and deep learning: A survey M. Abdellaoui et al.
7. Modeling Cumulus Cloud Scenes from High‐resolution Satellite Images Z. Zhang et al.
8. Automatic cloud detection for high resolution satellite stereo images and its application in terrain extraction T. Wu et al.
9. Seeing Through Clouds in Satellite Images M. Zhao et al.
10. The role of machine intelligence in photogrammetric 3D modeling – an overview and perspectives R. Qin & A. Gruen
11. SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud Masks A. Francis et al.