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International Journal of Remote Sensing Volume 35, 2014 - Issue 21
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Original Articles

Unsupervised change detection based on robust chi-squared transform for bitemporal remotely sensed images

Aiye ShiSchool of Computer Science and Software Engineering, The University of Western Australia, Perth6009, Australia;College of Computer and Information, Hohai University, Nanjing211100, ChinaCorrespondence[email protected]
,
Du Q. HuynhSchool of Computer Science and Software Engineering, The University of Western Australia, Perth6009, Australia
,
Feng Chen HuangCollege of Computer and Information, Hohai University, Nanjing211100, China
,
Shao Hong ShenSpatial Technology Institute, Changjiang Science Institute, Wuhan, China
,
Wen Ping LuSpatial Technology Institute, Changjiang Science Institute, Wuhan, China
&
Zhen Li MaCollege of Computer and Information, Hohai University, Nanjing211100, China
Pages 7555-7566 | Received 06 Jul 2014, Accepted 26 Sep 2014, Published online: 04 Nov 2014

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