Lloyd, C.D., Berberoglu, S., Curran, P. 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), pp. 3943-3965.
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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.
|Subjects:||Geography and Environmental Studies|
|Group:||University Executive Team|
|Deposited By:||Ms MJ Bowden|
|Deposited On:||13 Dec 2007|
|Last Modified:||07 Mar 2013 14:46|
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