A comparison of texture measures for the per-field classification of Mediterranean land cover

Lloyd, C.D., Berberoglu, S., Curran, P.J. and Atkinson, P.M. (2004) A comparison of texture measures for the per-field classification of Mediterranean land cover. International Journal of Remote Sensing, 25, (19), 3943-3965. (doi:10.1080/0143116042000192321).


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Land cover of a Mediterranean region was classified within an artificial neural network (ANN) on a per-field basis using Landsat Thematic Mapper (TM) imagery. In addition to spectral information, the classifier used geostatistical structure functions and texture measures extracted from the co-occurrence matrix. Geostatistical measures of texture resulted in a more accurate classification of Mediterranean land cover than statistics derived from the co-occurrence matrix. The primary advantage of geostatistical measures was their robustness over a wide range of land cover types, field sizes and forms of class mixing. Spectral information and the variogram (geostatistical texture measure) resulted in the highest overall classification accuracies.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1080/0143116042000192321
ISSNs: 0143-1161 (print)
Related URLs:
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Divisions : University Structure - Pre August 2011 > School of Geography > Remote Sensing and Spatial Analysis
ePrint ID: 15449
Accepted Date and Publication Date:
October 2004Published
Date Deposited: 18 Apr 2005
Last Modified: 31 Mar 2016 11:29
URI: http://eprints.soton.ac.uk/id/eprint/15449

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