Complementary Fusion Network Based on Frequency Hybrid Attention for Pansharpening-Reference-Cited by-同舟云学术

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Complementary Fusion Network Based on Frequency Hybrid Attention for Pansharpening

Published:2024-04-14 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Xing Yinghui¹,Qu Litao²,Zhang Kai³,Zhang Yan²,Zhang Xiuwei²,Zhang Yanning²

Affiliation:

1. Research and Development Institute of Northwestern Polytechnical University in Shenzhen

2. Northwestern Polytechnical University,School of Computer Science,Xi’an,710072

3. Shandong Normal University,School of Information Science and Engineering,Jinan,250358

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446416.pdf?arnumber=10446416

Reference19 articles.

1. Building detection in very high resolution multispectral data with deep learning features

2. Superpixel-Based Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images

3. Rule-Based Classification of a Very High Resolution Image in an Urban Environment Using Multispectral Segmentation Guided by Cartographic Data

4. An image is worth 16x16 words: Transformers for image recognition at scale;Dosovitskiy,2020

5. PanFormer: A Transformer Based Model for Pan-Sharpening

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Empower Generalizability for Pansharpening Through Text-Modulated Diffusion Model;IEEE Transactions on Geoscience and Remote Sensing;2024

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