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

被引：0
|
作者：
Zhang L. [1 ]
Wu C. [2 ]
机构：
[1] State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan
[2] International School of Software, Wuhan University, Wuhan
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2017年 / 46卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Change detection; High-resolution image; Hyperspectral image; Multi-temporal data; Remote sensing imagery;
D O I：
10.11947/j.AGCS.2017.20170340
中图分类号：
学科分类号：
摘要：
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. © 2017, Surveying and Mapping Press. All right reserved.
引用
收藏
页码：1447 / 1459
页数：12
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