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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 8
2532-2537

Attention mechanism combined with residual shrinkage network to classify remote sensing images

Che Sitao
Guo Rongzuo
Li Zhuoyang
Yang Jun
College of Computer Science, Sichuan Normal University, Chengdu 610101, China
DOI: 10.19734/j.issn.1001-3695.2021.12.0665

Abstract

Aiming at the poor classification effect caused by complex background, large intra-class difference and high inter-class similarity in remote sensing scene images, this paper proposed an attention mechanism and residual contraction unit algorithm based on supervised contrast learning. Firstly, the algorithm improved the effective channel attention mechanism(ECA), and optimized the extraction of image features to be recognized. Then, this paper proposed a cooperative residual shrinkage unit algorithm, which was used to filter and eliminate redundant information of images. In addition, it used supervised contrast learning algorithm to enhance the generalization ability of the algorithm. Finally, this paper carried out experiments with remote sensing image dataset and compared with the latest algorithms such as enhanced attention algorithm and scale attention mechanism algorithm. Experimental results show that the proposed algorithm improves the classification accuracy by 1.75% and 2.5% in AID dataset with 20% training ratio.

Foundation Support

国家自然科学基金资助项目(11905153,61701331)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.12.0665
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Technology of Graphic & Image
Pages: 2532-2537
Serial Number: 1001-3695(2022)08-051-2532-06

Publish History

[2022-02-18] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

车思韬, 郭荣佐, 李卓阳, 等. 注意力机制结合残差收缩网络对遥感图像分类 [J]. 计算机应用研究, 2022, 39 (8): 2532-2537. (Che Sitao, Guo Rongzuo, Li Zhuoyang, et al. Attention mechanism combined with residual shrinkage network to classify remote sensing images [J]. Application Research of Computers, 2022, 39 (8): 2532-2537. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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