no code implementations • 12 Aug 2023 • Guirong Zhuo, Shouyi Lu, Huanyu Zhou, Lianqing Zheng, Lu Xiong
We demonstrate the excellent performance of our method and the effectiveness of each module design on both the VoD and in-house datasets.
1 code implementation • CVPR 2023 • Huanyu Zhou, Qingjie Liu, Yunhong Wang
Furthermore, FR Head could be imposed on different stages of GCNs to build a multi-level refinement for stronger supervision.
1 code implementation • 6 Mar 2022 • Huanyu Zhou, Qingjie Liu, Yunhong Wang
Pan-sharpening aims at producing a high-resolution (HR) multi-spectral (MS) image from a low-resolution (LR) multi-spectral (MS) image and its corresponding panchromatic (PAN) image acquired by a same satellite.
1 code implementation • 20 Sep 2021 • Huanyu Zhou, Qingjie Liu, Dawei Weng, Yunhong Wang
Most of existing methods fall into the supervised learning framework in which they down-sample the multi-spectral (MS) and panchromatic (PAN) images and regard the original MS images as ground truths to form training samples.
1 code implementation • 16 Dec 2020 • Huanyu Zhou, Qingjie Liu, Yunhong Wang
However, since there are no intended HR MS images as references for learning, almost all of the existing methods down-sample the MS and PAN images and regard the original MS images as targets to form a supervised setting for training.
1 code implementation • 9 May 2018 • Qingjie Liu, Huanyu Zhou, Qizhi Xu, Xiangyu Liu, Yunhong Wang
This paper addresses the problem of remote sensing image pan-sharpening from the perspective of generative adversarial learning.