Color Based Urban and Agricultural Land Classification by GLCM Texture Features

Umaselvi, M. and Kumar, S.S. and Athithya, M. (2012) Color Based Urban and Agricultural Land Classification by GLCM Texture Features. In: IET Chennai 3rd International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2012), 27-29 Dec. 2012, Tiruchengode, India.

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Abstract

This paper presents colour based classifi cation
of Urban and Agricultural Land using GLCM Texture
Features in Satellite images. Now a day due to the progresses
in spatial resolution of satellite imagery, the methods of
Classifi cation based image analysis for generating and
updating geographical information are becoming more
important. In this work, First cluster is formed using La*b*
colour space and classifi ed, then Glcm Texture features
(Homogeneity, Contrast, Angular Second Moment (ASM),
Energy, Entropy) applied and statistical value calculated .
Experiments are conducted on a satellite images.

Item Type: Conference or Workshop Item (Paper)
Subjects: Agricultural Engineering > Agricultural Processing and Food Engineering
Divisions: Agricultural Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 23 Oct 2026 08:36
Last Modified: 23 Oct 2026 08:36
URI: https://ir.vcenggw.ac.in/id/eprint/320

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