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

Lloyd, Christopher D. and Berberoglu, S. and Curran, Paul J. and Atkinson, Peter 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. ISSN 0143-1161

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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.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Remote Sensing
Additional Information:
M1 - 19
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1900
Subjects:
ID Code:
77095
Deposited By:
Deposited On:
15 Dec 2015 11:08
Refereed?:
Yes
Published?:
Published
Last Modified:
19 Feb 2020 02:44