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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 11
3460-3465

Building change detection from high resolution remote sensing imagery based on Siam-UNet++

Zhu Jiezhong1,2a
Chen Yong2a
Ke Fuyang2b
Zhang Guorong2a
1. School of Binjiang, Nanjing University of Information Science & Technology, Wuxi Jiangsu 214105, China
2. a. School of Automation, b. School of Remote Sensing & Surveying Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
DOI: 10.19734/j.issn.1001-3695.2021.01.0070

Abstract

Aiming at the problems of complex background, variety of change types, missing detection and rough boundary recognition in high-resolution remote sensing image of the same region, this paper proposed a high-resolution remote sensing image building change detection algorithm based on Siam-UNet++ network. The algorithm used UNet++ as the backbone extraction network. In the encoder phase, it applied the Siam-diff structure to extract the change features of the two sequential images, and employed the attention mechanism after the up sampling and lateral jump path connection in the decoding stage to highlight the building change features and inhibit the network learning from other types of features. Meanwhile, it used the MSOF strategy to weight and fuse feature information of different semantic levels, which improved the accuracy of building change detection. Finally, it adopted a sliding window method to predict large-scale remote sensing images, reducing the hole pattern generated by the change result map during the splicing process. The experimental results demonstrate that proposed algorithm shows better performance than other models.

Foundation Support

江苏省“六大人才高峰”高层次人才项目(XYDDX-045)
西宁市科技计划项目(2019-Y-12)
国家级大学生创新训练项目(201910300047)
无锡市现代产业发展资金项目(003231911161)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0070
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Technology of Graphic & Image
Pages: 3460-3465
Serial Number: 1001-3695(2021)11-046-3460-06

Publish History

[2021-11-05] Printed Article

Cite This Article

朱节中, 陈永, 柯福阳, 等. 基于Siam-UNet++的高分辨率遥感影像建筑物变化检测 [J]. 计算机应用研究, 2021, 38 (11): 3460-3465. (Zhu Jiezhong, Chen Yong, Ke Fuyang, et al. Building change detection from high resolution remote sensing imagery based on Siam-UNet++ [J]. Application Research of Computers, 2021, 38 (11): 3460-3465. )

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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