COMPLEMENTARY FUSION NETWORK BASED ON FREQUENCY HYBRID ATTENTION FOR PANSHARPENING

Yinghui Xing, Litao Qu, Kai Zhang, Yan Zhang, Xiuwei Zhang, Yanning Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Pansharpening is a feasible way to obtain the high-resolution (HR) multispectral (MS) images by using panchromatic (PAN) images to sharpen low-resolution MS images. Despite its great advances, most existing pansharpening methods neglect the importance of integrating local and non-local characteristics of images, resulting in the imbalance of spatial and spectral distribution. In this paper, we propose a complementary fusion network (CFNet) based on frequency hybrid attention mechanism for pansharpening. By introducing the frequency transformation and the deformable cross-attention, our model takes image-wide receptive field into consideration to explore global feature learning. Combined with the convolutional layers with local receptive field, CFNet can well capture local and non-local features. Experimental results demonstrate that the proposed method outperforms the comparison methods in terms of visual and quantitative qualities.

源语言英语
主期刊名2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
2650-2654
页数5
ISBN(电子版)9798350344851
DOI
出版状态已出版 - 2024
活动2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Seoul, 韩国
期限: 14 4月 202419 4月 2024

出版系列

姓名ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(印刷版)1520-6149

会议

会议2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
国家/地区韩国
Seoul
时期14/04/2419/04/24

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