Technical note: Rotational transformation of remotely sensed data for land use classification |
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Authors: | M L Nirala G Venkatachalam |
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Affiliation: | 1. Department of Applied Physics &2. Electronics and Mechanical Engineering , University of Dundee , Dundee, Scotland, DD1 4HN, UK;3. Department of Civil Engineering , Indian Institute of Technology , Powai, Bombay, 400 076, India |
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Abstract: | 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. |
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