Abstract:Cloud cover presents a major challenge for geoscience research of remote sensing images with thick clouds causing complete obstruction with information loss while thin clouds blurring the ground objects. Deep learning (DL) methods based on convolutional neural networks (CNNs) have recently been introduced to the cloud removal task. However, their performance is hindered by their weak capabilities in contextual information extraction and aggregation. Unfortunately, such capabilities play a vital role in charact… Show more
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