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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 5
1592-1596

Remote sensing change detection based on adaptive space and conditional random fields

Yang Jingyu1,2
Wu Lei1
Wang Yangping1,2,3
Du Xiaogang1
1. College of Electronic & Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
2. Engineering Research Center of Artificial Intelligence & Image Processing in Gansu Province, Lanzhou 730070, China
3. Gansu Provincial Key Laboratory of System Dynamics & Reliability of Rail Transport Equipment, Lanzhou 730070, China
DOI: 10.19734/j.issn.1001-3695.2018.12.0916

Abstract

The paper proposed a high-resolution remote sensing image change detection framework, it combined adaptive space and conditional random field(CRF). The framework could reduce the noise caused by registration error and over-smoothing phenomenon caused by conditional random field in dual-phase image change detection. The proposed framework constructed a weighting adaptive space to eliminate the noise caused by the registration error. It used the fuzzy C-means clustering method based on morphological reconstruction to construct the CRF unary potential which effectively reduced speckle noise, and it constructed the conditional random field pairwise potential with spectral and spatial constrained model, which improved the anti-noise performance of the algorithm and could prevent over-smoothing. Compared with several existing change detection methods, the proposed method shows advantage in the overall accuracy, false rate and miss rate, and can keep boundary better in the same time.

Foundation Support

国家自然科学基金资助项目(41761082,61862038,61861024)
甘肃省科技计划资助项目(18JR3RA104)
甘肃省教育厅科技项目(2017D-08)
甘肃省高原交通信息工程及控制重点实验室资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.12.0916
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Technology of Graphic & Image
Pages: 1592-1596
Serial Number: 1001-3695(2020)05-065-1592-05

Publish History

[2020-05-05] Printed Article

Cite This Article

杨景玉, 吴磊, 王阳萍, 等. 结合自适应空间与CRF的遥感影像变化检测 [J]. 计算机应用研究, 2020, 37 (5): 1592-1596. (Yang Jingyu, Wu Lei, Wang Yangping, et al. Remote sensing change detection based on adaptive space and conditional random fields [J]. Application Research of Computers, 2020, 37 (5): 1592-1596. )

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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