Change detection from multi-temporal remote sensing image based on canonical transformation

被引：0

作者：

Liao, MS ^{[1
]}

Lin, H ^{[1
]}

Zhu, P ^{[1
]}

Gong, JY ^{[1
]}

机构：

[1] Chinese Univ Hong Kong, Joint Lab Geoinformat Sci, Hong Kong, Hong Kong, Peoples R China

来源：

MULTISPECTRAL AND HYPERSPECTRAL IMAGE ACQUISITION AND PROCESSING | 2001年 / 4548卷

关键词：

change detection; canonical analysis; multi-temporal image; spectral image; remote sensing;

D O I：

10.1117/12.441401

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The change detection is one of the important topics in multi-temporal. remotely sensed data and significant effort has gone into development of change detection method. This paper will introduce the method for multi-temporal change detection with multivariate analysis, which is based on the canonical correlation analysis and the orthogonal transformation. Moreover, a case study with NOAA/AVHRR data will also be presented.

引用

页码：120 / 123

页数：4

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