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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), pp. 3943-3965. (doi:10.1080/0143116042000192321).

Record type: Article

Abstract

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.

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Published date: October 2004

Identifiers

Local EPrints ID: 15449
URI: http://eprints.soton.ac.uk/id/eprint/15449
ISSN: 0143-1161
PURE UUID: 660e6f41-6ba1-4e77-b21e-d3bd5ab0320b

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Date deposited: 18 Apr 2005
Last modified: 17 Jul 2017 16:49

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Contributors

Author: C.D. Lloyd
Author: S. Berberoglu
Author: P.J. Curran
Author: P.M. Atkinson

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