Reducing the effects of misregistration on pixel-level change detection

被引：104

作者：

Stow, DA ^{[1
]}

机构：

[1] San Diego State Univ, Dept Geog, San Diego, CA 92182 USA

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 1999年 / 20卷 / 12期

关键词：

D O I：

10.1080/014311699212137

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

A model that compensates for misregistration effects on change detection results shows promise for reducing artefacts and enhancing land change features at or near the pixel scale and for reducing noise caused by misregistered muti-temporal images. Sparse estimates of misregistration across the scene are combined with calculations of spatial brightness gradients to adjust the magnitude of multi-temporal image differences. The model is tested on a multi-temporal Landsat Thematic Mapper image data set for a rapidly urbanizing landscape in southern California.

引用

页码：2477 / 2483

页数：7

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