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
收藏
页码：120 / 123
页数：4
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