Technology of Graphic & Image
|
3820-3825

Road extraction from satellite image based on gated convolutional residual network

Xiao Changcheng
Wu Xi
School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China

Abstract

This paper proposed a remote sensing image road extraction model based on gated convolution residual network, which aiming at the problem that road information in remote sensing images was interfered by non-road information. Firstly, the network used ResNet101 as the network encoder, which ensured the effective transmission of gradient information while making the network deep enough. Secondly, it used the ASPP multi-scale feature extraction module in the central part to further mine the information given in the feature map. Finally, it replaced the ordinary convolution layer by the gated convolution layer, which could be used as the decoder part of the network by adaptively assigning weights according to the importance of parameters in the feature graph. It verified the method on the dataset of CVPR DeepGlobe 2018 road extraction challenge. And the average crossover ratio, Dice similarity coefficient, and recall rate reach 70.20%, 82.06%, and 82.21%, respectively, which are all higher than DlinkNet34, the champion of the competition, and this method improves the effect of road extraction.

Foundation Support

国家自然科学基金资助项目(42075142)
国家重点研发计划课题(2017YFC1502203)
四川省科技计划资助项目(2019YFG0496,2020YFG0143,2020JDTD0020)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0123
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Technology of Graphic & Image
Pages: 3820-3825
Serial Number: 1001-3695(2021)12-054-3820-06

Publish History

[2021-12-05] Printed Article

Cite This Article

肖昌城, 吴锡. 基于门控卷积残差网络的卫星图像道路提取 [J]. 计算机应用研究, 2021, 38 (12): 3820-3825. (Xiao Changcheng, Wu Xi. Road extraction from satellite image based on gated convolutional residual network [J]. Application Research of Computers, 2021, 38 (12): 3820-3825. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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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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