Communication Dans Un Congrès Année : 2015

Contribution of textural information from TERRASAR-X image for forest mapping

Résumé

This study evaluates the potential of High Resolution Spotlight TerraSAR-X image for forest type discrimination. Emphasis is put on textural analysis accessible with high resolution radar data. Textural attributes are extracted from GLCM matrices, wavelet, and Fourier Transform (i.e. FOTO method). Their contribution for classification is assessed by their performance through the SVM algorithm.

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Dates et versions

hal-01522130 , version 1 (12-05-2017)

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Cécile Cazals, Hajar Benelcadi, Pierre-Louis Frison, Grégoire Mercier, Cédric Lardeux, et al.. Contribution of textural information from TERRASAR-X image for forest mapping. IEEE International Geoscience and Remote Sensing Symposium, IEEE Geoscience and Remote Sensing Society (GRSS). USA., Jul 2015, Milan, Italy. ⟨10.1109/IGARSS.2015.7325822⟩. ⟨hal-01522130⟩
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