A hybrid model-based and data-driven approach for cloud removal in satellite imagery using multi-scale distortion-aware networks
Published in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 2021
This paper proposes a novel Cloud Aware and Feature Extraction (CAFE) module by incorporating the physical model of cloud distortion considering atmosphere light, cloud reflectance light and cloud transmission.
Recommended citation: W. Yu, X. Zhang, M. -O. Pun and M. Liu, “A Hybrid Model-Based and Data-Driven Approach for Cloud Removal in Satellite Imagery Using Multi-Scale Distortion-Aware Networks,” 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 2021, pp. 7160-7163, doi: 10.1109/IGARSS47720.2021.9554963.