Contribution of textural information from TERRASAR-X image for forest mapping
Language
en
Communication dans un congrès
This item was published in
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE International Geoscience and Remote Sensing Symposium, 2015-07-26, Milan. 2015p. np
English Abstract
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 ...Read more >
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.Read less <
Keywords
cartographie de la végétation
polarimétrie
télédétection
English Keywords
texture
SAR
TerraSAR-X
Fourier transform
wavelet transform
Haralick
SVM
vegetation
polarimetry
remote sensing
Origin
Hal imported