Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted MAD transformation

被引：279

作者：

Canty, Morton J. ^{[1
]}

Nielsen, Allan A. ^{[2
]}

机构：

[1] Julich Res Ctr, Inst Chem & Dynam Geosphere, D-52425 Julich, Germany

[2] Tech Univ Denmark, Danish Natl Space Ctr, DK-2800 Lyngby, Denmark

来源：

REMOTE SENSING OF ENVIRONMENT | 2008年 / 112卷 / 03期

关键词：

change detection; multispectral imagery; iteratively reweighted multivariate alteration detection (IR-MAD); canonical correlation analysis (CCA); radiometric;

D O I：

10.1016/j.rse.2007.07.013

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A recently proposed method for automatic radiometric normalization of multi- and hyperspectral imagery based on the invariance property of the Multivariate Alteration Detection (MAD) transfortnation and orthogonal linear regression is extended by using an iterative re-weighting scheme involving no-change probabilities. The procedure is first investigated with partly artificial data and then applied to multitemporal, multispectral satellite imagery. Substantial improvement over the previous method is obtained for scenes which exhibit a high proportion of change. (C) 2007 Elsevier Inc. All rights reserved.

引用

页码：1025 / 1036

页数：12

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