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Technology of Graphic & Image
|
304-308

Pan-sharpening network guided by wavelet coefficients

Pan Xiaohang
Fang Faming
Dept. of Computer Science & Technology, East China Normal University, Shanghai 200000, China

Abstract

To tackle the problem that existing pan-sharpening networks cannot preserve spatial information and spectral information simultaneously, this paper proposed a pan-sharpening network guided by wavelet coefficients, which consisted of fusion network and guidance network. The fusion network extracted the multi-level features of PAN and MS images respectively, and performed feature selection and fusion at the same level. The fused features guided the extraction of features at the next level. The guidance network learned the mapping relationship between the wavelet coefficients of the input LRMS/PAN images and HRMS image, and provided extra supervision for the output of the fusion network. Experimental results show that the proposed network can recover as much spatial information as possible while preserving the spectral information of MS images. Comparison experiments on simulated datasets and real datasets also show that the fusion effect of the proposed method is better than other traditional methods and deep learning methods, which has certain value in practice.

Foundation Support

国家自然科学基金项目(61871185)
上海市科学基金项目(20ZR416200)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0226
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 1
Section: Technology of Graphic & Image
Pages: 304-308
Serial Number: 1001-3695(2023)01-051-0304-05

Publish History

[2022-07-27] Accepted Paper
[2023-01-05] Printed Article

Cite This Article

潘晓航, 方发明. 小波系数指导的全色锐化网络 [J]. 计算机应用研究, 2023, 40 (1): 304-308. (Pan Xiaohang, Fang Faming. Pan-sharpening network guided by wavelet coefficients [J]. Application Research of Computers, 2023, 40 (1): 304-308. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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