Methods of image transformation to enhance classification accuracy


Citation

Mohammad Said Mat Lela, . (1995) Methods of image transformation to enhance classification accuracy. [Proceedings Paper]

Abstract

This paper will discuss image transformation using the subscene image consisting of 250 line by 200 column. The transformation to be carried out include ratios normalised difference methods where the difference of two bands is divided by the sum of the others vegetation indices principal component analysis and Kauth-Thomas transformation. The composite images generated from the transformation are analysed in terms of better separation of classes and the best will be used for the final analysis.


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Abstract

This paper will discuss image transformation using the subscene image consisting of 250 line by 200 column. The transformation to be carried out include ratios normalised difference methods where the difference of two bands is divided by the sum of the others vegetation indices principal component analysis and Kauth-Thomas transformation. The composite images generated from the transformation are analysed in terms of better separation of classes and the best will be used for the final analysis.

Additional Metadata

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Item Type: Proceedings Paper
Additional Information: Available at Perpustakaan Sultan Abdul Samad Universiti Putra Malaysia 43400 UPM Serdang Selangor Malaysia. G70.5 A7S471 1995 Call Number
AGROVOC Term: METHODS
AGROVOC Term: IMAGERY
AGROVOC Term: CLASSIFICATION
AGROVOC Term: MALAYSIA
Geographical Term: MALAYSIA
Depositing User: Ms. Suzila Mohamad Kasim
Last Modified: 24 Apr 2025 05:13
URI: http://webagris.upm.edu.my/id/eprint/10880

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