LiteLKG-Net: A Lightweight Network With Multiscale Large Kernel Attention and Gated Spatial Feature Fusion for Remote Sensing Change Detection (opens in new tab)

With the advancement of Earth observation technology, remote sensing change detection (RSCD) has become an effective means to monitor dynamic changes in surface objects, widely applied in urban planning, environmental disaster monitoring, and other fields. Although Transformer-based methods exhibit strong global modeling capabilities, they often suffer from high computational complexity and excessive parameter counts, while traditional convolutional neural network (CNN)-based methods are cons...