Joint Probability Space Based Self-adaptive Remote Sensing Change Detection Method

doi:10.11947/j.AGCS.2016.20140484

Acta Geodaetica et Cartographica Sinica ›› 2016, Vol. 45 ›› Issue (1): 73-79.doi: 10.11947/j.AGCS.2016.20140484

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Joint Probability Space Based Self-adaptive Remote Sensing Change Detection Method

WU Wei¹, SHEN Zhanfeng², WU Tianjun³, WANG Weihong¹

1. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China;
2. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;
3. College of Science, Chang'an University, Xi'an 710064, China

Received:2014-09-17 Revised:2015-09-13 Online:2016-01-20 Published:2016-01-28
Supported by:
The National Natural Science Foundation of China (No.41301473);National Science and Technology Major Project (No.03-Y30B06-9001-13/15-01).The National Natural Science Foundation of Zhejiang Province of China(No. LZ14F020001)

Abstract

Abstract: A variety of factors has led to radiometric variations of the land cover, which severely limits the threshold based change detection method performance. To overcome this problem, we propose a joint probability density space based self adaptive multi-threshold change detection approach. Firstly, the two images of the same geographic area acquired at different time are transformed into the joint probability space. In which, the land cover change pixels are defined as outliers and identified by an iterative method. Then, the extracted outliers are mapped back to the original image space and determine the change area. To illustrate the performance of the proposed method, an experimental analysis on two classical applications is reported and discussed, results show that the proposed method over performed the state of art method in true rate, false alarm rate and omit alarm rate, with high stability.

Key words: unsupervised change detection, joint probability density, self-adaptive multi threshold, iterative method

CLC Number:

P237

WU Wei, SHEN Zhanfeng, WU Tianjun, WANG Weihong. Joint Probability Space Based Self-adaptive Remote Sensing Change Detection Method[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(1): 73-79.

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Joint Probability Space Based Self-adaptive Remote Sensing Change Detection Method

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