Adaptive change detection in Hawk-Eye bi-temporal images

In the domain of remote sensing, Change Detection (CD) from bi-temporal images is crucial. Images from Hawk-Eye platforms provide an adjunct to traditional remote sensing data, but introduce significant challenges, especially under low-illumination and wide field-of-view conditions. These issues include complex noise and minute change regions, making the direct application of conventional CD techniques largely ineffective. To address this, we propose a dedicated plug-and-play module for CD on Hawk-Eye platforms. This innovative module integrates a Dark Channel Enhancement Module (DCE) to improve brightness with a Scale-decoupled Fine-slicing Module (SF) for detailed change region detection. Thorough evaluations on real images from Hawk-Eye platforms demonstrate the module's effectiveness in adapting existing CD methods.