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

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A comparison of texture measures for the per-field classification of Mediterranean land cover. / Lloyd, Christopher D.; Berberoglu, S.; Curran, Paul J. et al.
In: International Journal of Remote Sensing, Vol. 25, No. 19, 2004, p. 3943-3965.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Lloyd, CD, Berberoglu, S, Curran, PJ & Atkinson, PM 2004, 'A comparison of texture measures for the per-field classification of Mediterranean land cover', International Journal of Remote Sensing, vol. 25, no. 19, pp. 3943-3965. https://doi.org/10.1080/0143116042000192321

APA

Lloyd, C. D., Berberoglu, S., Curran, P. J., & 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. https://doi.org/10.1080/0143116042000192321

Vancouver

Lloyd CD, Berberoglu S, Curran PJ, Atkinson PM. A comparison of texture measures for the per-field classification of Mediterranean land cover. International Journal of Remote Sensing. 2004;25(19):3943-3965. doi: 10.1080/0143116042000192321

Author

Lloyd, Christopher D. ; Berberoglu, S. ; Curran, Paul J. et al. / A comparison of texture measures for the per-field classification of Mediterranean land cover. In: International Journal of Remote Sensing. 2004 ; Vol. 25, No. 19. pp. 3943-3965.

Bibtex

@article{910c9d9992634022b56aeba01b0eb9a4,
title = "A comparison of texture measures for the per-field classification of Mediterranean land cover",
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.",
author = "Lloyd, {Christopher D.} and S. Berberoglu and Curran, {Paul J.} and Atkinson, {Peter M.}",
note = "M1 - 19",
year = "2004",
doi = "10.1080/0143116042000192321",
language = "English",
volume = "25",
pages = "3943--3965",
journal = "International Journal of Remote Sensing",
issn = "0143-1161",
publisher = "TAYLOR & FRANCIS LTD",
number = "19",

}

RIS

TY - JOUR

T1 - A comparison of texture measures for the per-field classification of Mediterranean land cover

AU - Lloyd, Christopher D.

AU - Berberoglu, S.

AU - Curran, Paul J.

AU - Atkinson, Peter M.

N1 - M1 - 19

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

U2 - 10.1080/0143116042000192321

DO - 10.1080/0143116042000192321

M3 - Journal article

VL - 25

SP - 3943

EP - 3965

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

SN - 0143-1161

IS - 19

ER -