DocumentCode :
676840
Title :
Color based Urban and Agricultural Land classification by GLCM Texture Features
Author :
Umaselvi, M. ; Kumar, Sahoo Subhendu ; Athithya, M.
Author_Institution :
Vivekananda Coll. of Technol. for Women, India
fYear :
2012
fDate :
27-29 Dec. 2012
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents colour based classification 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 Classification 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 classified, then Glcm Texture features (Homogeneity, Contrast, Angular Second Moment (ASM), Energy, Entropy) applied and statistical value calculated . Experiments are conducted on a satellite images.
Keywords :
agriculture; geography; geophysical image processing; image classification; image colour analysis; image resolution; image texture; statistical analysis; ASM; GLCM texture features; Lab colour space; angular second moment; classification based image analysis; color based agricultural land classification; color based urban land classification; contrast; energy; entropy; geographical information; homogeneity; satellite imagery spatial resolution; statistical value; Angular Second Moment (ASM); Energy; Entropy; Euclidean Metric; Glcm; Homogeneity; La*b* colour space; contrast;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Sustainable Energy and Intelligent Systems (SEISCON 2012), IET Chennai 3rd International on
Conference_Location :
Tiruchengode
Electronic_ISBN :
978-1-84919-797-7
Type :
conf
DOI :
10.1049/cp.2012.2213
Filename :
6719119
Link To Document :
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