Detection of changes in remotely-sensed images by the selective use of multi-spectral information

被引：51
|
作者：
Bruzzone, L [1 ]
Serpico, SB [1 ]
机构：
[1] Univ Genoa, Dept Biophys & Elect Engn, I-16145 Genoa, Italy
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 1997年 / 18卷 / 18期
关键词：
D O I：
10.1080/014311697216702
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
In this Letter, an unsupervised algorithm for detecting changes in multi-spectral and multi-temporal remotely-sensed images is presented. Such an algorithm makes it possible to reduce the effects of 'registration noise' on the accuracy of change detection. In addition, it can be used to reduce the typologies of detected changes in order to better locate the changes under investigation.
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页码：3883 / 3888
页数：6
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