A New Approach to Change Detection in Multispectral Images by Means of ERGAS Index

被引：59

作者：

Renza, Diego ^{[1
]}

Martinez, Estibaliz ^{[1
]}

Arquero, Agueda ^{[1
]}

机构：

[1] Univ Politecn Madrid, E-28040 Madrid, Spain

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2013年 / 10卷 / 01期

关键词：

Local relative dimensionless global error in synthesis (ERGAS); multitemporal optical satellite images; thresholding; unsupervised change detection (CD); LAND-COVER CHANGE; UNSUPERVISED CHANGE DETECTION; CHANGE-VECTOR ANALYSIS; SPACE;

D O I：

10.1109/LGRS.2012.2193372

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

In this letter, we propose a novel method for unsupervised change detection (CD) in multitemporal Erreur Relative Globale Adimensionnelle de Synthese (ERGAS) satellite images by using the relative dimensionless global error in synthesis index locally. In order to obtain the change image, the index is calculated around a pixel neighborhood (3 x 3 window) processing simultaneously all the spectral bands available. With the objective of finding the binary change masks, six thresholding methods are selected. A comparison between the proposed method and the change vector analysis method is reported. The accuracy CD showed in the experimental results demonstrates the effectiveness of the proposed method.

引用

页码：76 / 80

页数：5

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