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).
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.
|Subjects:||G Geography. Anthropology. Recreation > G Geography (General)|
|Divisions:||University Structure - Pre August 2011 > School of Geography > Remote Sensing and Spatial Analysis
|Date Deposited:||18 Apr 2005|
|Last Modified:||28 Jun 2012 09:31|
|Contributors:||Lloyd, C.D. (Author)
Berberoglu, S. (Author)
Curran, P.J. (Author)
Atkinson, P.M. (Author)
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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