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School of Computer Science, Northwestern Polytechnical University 2 School of Software Technology & DUT-RU International School of ISE, Dalian University of Technology 3 School of Computer Science, Zhejiang University 4 College of Information Science and Technology, Dalian Maritime University archerv2@mail.nwpu.edu.cn atlantis918@hotmail.com Corresponding author. Abstract 00footnotetext:
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Achieve state-of-the-art pansharpening of thin-cloud contaminated remote sensing images with a unified model that disentangles frequency components and leverages NIR and PAN bands for robust restoration.
