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A new approach for finding an appropriate combination of texture parameters for classification

Pathak, Virendra & Dikshit, Onkar (2010) A new approach for finding an appropriate combination of texture parameters for classification. Geocarto International, 25(4), pp. 295-313.

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Abstract

This paper suggests an approach for finding an appropriate combination of various parameters for extracting texture features (e.g. choice of spectral band for extracting texture feature, size of the moving window, quantization level of the image, and choice of texture feature etc.) to be used in the classification process. Gray level co-occurrence matrix (GLCM) method has been used for extracting texture from remotely sensed satellite image. Results of the classification of an Indian urban environment using spatial property (texture), derived from spectral and multi-resolution wavelet decomposed images have also been reported. A multivariate data analysis technique called ‘conjoint analysis’ has been used in the study to analyze the relative importance of these parameters. Results indicate that the choice of texture feature and window size have higher relative importance in the classification process than quantization level or the choice of image band for extracting texture feature. In case of texture features derived using wavelet decomposed image, the parameter ‘decomposition level’ has almost equal relative importance as the size of moving window and the decomposition of images up to level one is sufficient and there is no need to go for further decomposition. It was also observed that the classification incorporating texture features improves the overall classification accuracy in a statistically significant manner in comparison to pure spectral classification.

Impact and interest:

1 citations in Scopus
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1 citations in Web of Science®

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ID Code: 37926
Item Type: Journal Article
Keywords: classification, GLCM, texture, wavelet, conjoint analysis
DOI: 10.1080/10106040903576195
ISSN: 1010-6049
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > GEOMATIC ENGINEERING (090900) > Photogrammetry and Remote Sensing (090905)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Urban Development
Copyright Owner: Copyright 2010 Taylor & Francis.
Deposited On: 14 Oct 2010 12:02
Last Modified: 01 Mar 2012 00:15

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