Cloud removal in optical remote sensing imagery using multiscale distortion-aware networks
Published in IEEE Geoscience and Remote Sensing Letters, 2022
This paper proposes a multiscale distortion-aware cloud removal (MSDA-CR) network consisting of multiple cloud-distortion-aware representation learning (CDARL) modules combined in a multiscale grid architecture.
Recommended citation: W. Yu, X. Zhang and M. -O. Pun, “Cloud Removal in Optical Remote Sensing Imagery Using Multiscale Distortion-Aware Networks,” in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 5512605, doi: 10.1109/LGRS.2022.3144686.