Automatic radiometric normalization of multitemporal satellite imagery

被引：246

作者：

Canty, MJ ^{[1
]}

Nielsen, AA

Schmidt, M

机构：

[1] Julich Res Ctr, D-52425 Julich, Germany

[2] Tech Univ Denmark, DK-2800 Lyngby, Denmark

[3] Univ Bonn, Dept Geog, D-53115 Bonn, Germany

来源：

REMOTE SENSING OF ENVIRONMENT | 2004年 / 91卷 / 3-4期

关键词：

MAD transformation; orthogonal regression; radiometric normalization;

D O I：

10.1016/j.rse.2003.10.024

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The linear scale invariance of the multivariate alteration detection (MAD) transformation is used to obtain invariant pixels for automatic relative radiometric normalization of time series of multispectral data. Normalization by means of ordinary least squares regression method is compared with normalization using orthogonal regression. The procedure is applied to Landsat TM images over Nevada, Landsat ETM+ images over Morocco, and SPOT HRV images over Kenya. Results from this new automatic, combined MAD/orthogonal regression method, based on statistical analysis of test pixels not used in the actual normalization, compare favorably with results from normalization from manually obtained time-invariant features. (C) 2004 Elsevier Inc. All rights reserved.

引用

页码：441 / 451

页数：11

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