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Although deep learning-based change detection (CD) methods achieve great success in remote sensing images, they still suffer from two main challenges. First, popular Convolutional Neural Networks (CNNs) are weak in extracting discriminated features focusing on changed regions, since most methods ignore the multi-frequency components of bi-temporal ...
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