2014 IEEE Geoscience and Remote Sensing Symposium 2014
DOI: 10.1109/igarss.2014.6946937
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Using texture from high resolution Terrasar-X images for tropical forest mapping

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Cited by 2 publications
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“…To complete studies that have already shown the interest of textural analysis for forest mapping [1,2,3], three textural analysis methods are compared : two methods based on frequency textural analysis : namely wavelet transform and FOTO, the third method is based on the characterization of the of the gray level co-occurrence matrix (denoted GLCM) by retrieving Haralick descriptors from it. The derived attributes of each method are evaluated by analyzing their performance from SVM classification.…”
Section: Introductionmentioning
confidence: 99%
“…To complete studies that have already shown the interest of textural analysis for forest mapping [1,2,3], three textural analysis methods are compared : two methods based on frequency textural analysis : namely wavelet transform and FOTO, the third method is based on the characterization of the of the gray level co-occurrence matrix (denoted GLCM) by retrieving Haralick descriptors from it. The derived attributes of each method are evaluated by analyzing their performance from SVM classification.…”
Section: Introductionmentioning
confidence: 99%