Yi-Kun Li

A Noise-Robust Intelligent Change Detection Framework via Deep Feature Restoration and Posterior Probability Modeling

Change detection under Gaussian noise is challenging because noise perturbs spectral clustering and posterior inference. This study presents a scene-adaptive weakly supervised framework that combines self-supervised single-image restoration with posterior-probability change modeling. A channel-spatial attention aggrega...