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Rotational transformation of remotely sensed data for land use classification

DSpace at IIT Bombay

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Title Rotational transformation of remotely sensed data for land use classification
 
Creator NIRALA, ML
VENKATACHALAM, G
 
Description 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.
 
Publisher TAYLOR & FRANCIS LTD
 
Date 2011-08-31T04:31:57Z
2011-12-26T12:59:21Z
2011-12-27T05:51:16Z
2011-08-31T04:31:57Z
2011-12-26T12:59:21Z
2011-12-27T05:51:16Z
2000
 
Type Article
 
Identifier INTERNATIONAL JOURNAL OF REMOTE SENSING, 21(11), 2185-2202
0143-1161
http://dx.doi.org/10.1080/01431160050029503
http://dspace.library.iitb.ac.in/xmlui/handle/10054/12583
http://hdl.handle.net/10054/12583
 
Language en