Contribution of textural information from TERRASAR-X image for forest mapping
Idioma
en
Communication dans un congrès
Este ítem está publicado en
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
Resumen en inglés
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 ...Leer más >
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.< Leer menos
Palabras clave
cartographie de la végétation
polarimétrie
télédétection
Palabras clave en inglés
texture
SAR
TerraSAR-X
Fourier transform
wavelet transform
Haralick
SVM
vegetation
polarimetry
remote sensing
Orígen
Importado de HalCentros de investigación