IWCL: Interactive Wavelet Commonality Learning for Unsupervised End-to-End Heterogeneous Change Detection (opens in new tab)

Heterogeneous remote sensing change detection (CD) is a research hotspot in the field of remote sensing. However, due to the differences between different modalities, heterogeneous remote sensing images (HRSIs) are often difficult to compare and analyze directly. To address this challenge, this study hypothesizes that unchanged regions between HRSI exhibit significantly more commonality features in the wavelet domain than changed regions. Based on this, this article proposes an interactive wa...