Rotational transformation of remotely sensed data for land use classification

被引：6
|
作者：
Nirala, ML [1 ]
Venkatachalam, G
机构：
[1] Univ Dundee, Dept Appl Phys & Elect & Mech Engn, Dundee DD1 4HN, Scotland
[2] Indian Inst Technol, Dept Civil Engn, Bombay 400076, Maharashtra, India
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 2000年 / 21卷 / 11期
关键词：
D O I：
10.1080/01431160050029503
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
In this paper, the rotational transformation process is explained as a problem of rotation of remotely sensed data in the variance-covariance space. In particular, the rotation which maximizes the covariance-variance ratio is examined in detail for various land use and land cover classes in the Bombay suburban and Thana district area in India. A statistical approach to determine transformed components and other statistical variables on different band combinations is discussed. The results are analysed, and the best possible combinations selected for accurate classification are presented.
引用
收藏
页码：2185 / 2202
页数：18
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