Technology of Graphic & Image
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2194-2199

Remote sensing image haze removal algorithm using deep learning

Li Yufeng
Ren Jingbo
Huang Yufeng
College of Electronic & Information Engineering, Shenyang Aerospace University, Shenyang 110136, China

Abstract

This paper presented an image dehazing method based on deep learning to solve the problem that the remote sensing images had reduced image sharpness due to haze. Firstly, this algorithm distorted the original atmospheric scattering model to get an end-to-end defrosting model. Then, it unified several unknown parameters to one parameter and estimated the unknown parameters by using multiscale convolution neural network. Finally, it brought the parameter estimates into the defrosting model to get a haze-free image. For no reference image dataset, this paper used the existing dataset to preliminary train the network, then added the self-built dataset to secondary train the network. The experimental results show that, compared with the related defrosting algorithms, the proposed algorithm improves the visual effect and objective index to some extent, and effectively improves the clarity of remote sensing images in haze weather conditions.

Foundation Support

国家高分专项资助项目(70-Y40-G09-9001-18/20)
辽宁省自然科学基金资助项目(20180550334)
国家教育部科学技术研究重点项目(2017A02002)
辽宁省教育厅资助项目(L201701,L201735)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0270
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Technology of Graphic & Image
Pages: 2194-2199
Serial Number: 1001-3695(2021)07-052-2194-06

Publish History

[2021-07-05] Printed Article

Cite This Article

李玉峰, 任静波, 黄煜峰. 基于深度学习的遥感图像去雾算法 [J]. 计算机应用研究, 2021, 38 (7): 2194-2199. (Li Yufeng, Ren Jingbo, Huang Yufeng. Remote sensing image haze removal algorithm using deep learning [J]. Application Research of Computers, 2021, 38 (7): 2194-2199. )

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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