Lihua Jian

CLIPPan: Adapting CLIP as a Supervisor for Unsupervised Pansharpening

Despite remarkable advancements in supervised pansharpening neural networks, these methods face domain adaptation challenges of resolution due to the intrinsic disparity between simulated reduced-resolution training data and real-world full-resolution scenarios. To bridge this gap, we propose an uns