YDCNet: YCbCr and Depth-Aware Collaborative Approach for Remote Sensing Image Dehazing

Satellite imagery is indispensable for military reconnaissance and environmental monitoring, yet haze pollution severely degrades image quality and target recognition accuracy. Existing methods relying solely on the RGB color space often lead to suboptimal dehazing results with residual haze artifacts. To overcome this limitation, we propose a YCbCr and Depth-guided Collaborative Network (YDCNet) by integrating depth estimation and YCbCr features. First, a multi-stage architecture incorporating