Advance and Future Development of Change Detection for Multi-temporal Remote Sensing Imagery

  • ZHANG Liangpei ,
  • WU Chen
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  • 1. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China;
    2. International School of Software, Wuhan University, Wuhan 430079, China

Received date: 2017-06-21

  Revised date: 2017-08-03

  Online published: 2017-10-26

Supported by

The National Natural Science Foundation of China(Nos. 61601333;41431175);The Natural Science Foundation of Hubei Province of China(No. 2016CFB245);The Fundamental Research Funds for the Central Universities(No. 2042016kf0034)

Abstract

Change detection in multi-temporal remote sensing images can be widely applied in monitoring ecosystem changes,and tracking urban developments,thus is extremely useful to study the interaction between human and natural environment.With the development of new remote sensing technology,change detection has attracted more and more interests in dealing with multi-temporal hyperspectral and high-resolution remote sensing images.In this review,the recent advances are introduced in four aspects:pre-processing,change detection method,thresholding and accuracy assessment.Then,the main applications for change detection are summarized.And finally,the future developments of change detection are discussed.

Cite this article

ZHANG Liangpei , WU Chen . Advance and Future Development of Change Detection for Multi-temporal Remote Sensing Imagery[J]. Acta Geodaetica et Cartographica Sinica, 2017 , 46(10) : 1447 -1459 . DOI: 10.11947/j.AGCS.2017.20170340

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