Change Detection of High Resolution Remote Sensing Image Based on CRF Model

doi:10.13474/j.cnki.11-2246.2017.0281

测绘通报 ›› 2017, Vol. 0 ›› Issue (9): 28-31.doi: 10.13474/j.cnki.11-2246.2017.0281

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Change Detection of High Resolution Remote Sensing Image Based on CRF Model

WEI Lifei^1,2, MOU Ziwei^1,2, WANG Xiaoyan³, LI Dandan⁴

1. Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China;
2. Hubei Key Laboratory of Regional Development and Environmental Response, Wuhan 430062, China;
3. The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China;
4. Key Laboratory of Agri-informatics, Ministry of Agriculture, P.R.China, Beijing 100081, China

Received:2017-01-05 Revised:2017-04-25 Online:2017-09-25 Published:2017-10-12

Abstract

Abstract: For the traditional high resolution remote sensing image change detection methods mostly using spectral information to calculate directly,thus the accuracy of the detection result is not high,this paper proposes a high resolution remote sensing image change detection method based on conditional random field model(CRF).The method fuses the spectrum and space of difference image with CRF model,in the process of fusion,introducing the EM iterative strategy constantly updated the detection result,improve the change detection accuracy.The experimental results show that the classification accuracy of this method proposed in this paper is better than the traditional method,and having good stability.

Key words: high resolution remote sensing image, change detection, CRF model, Iterative calculation

CLC Number:

P237

WEI Lifei, MOU Ziwei, WANG Xiaoyan, LI Dandan. Change Detection of High Resolution Remote Sensing Image Based on CRF Model[J]. 测绘通报, 2017, 0(9): 28-31.

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Change Detection of High Resolution Remote Sensing Image Based on CRF Model

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