Title :
Contribution of textural information from TerraSAR-X image for forest mapping
Author :
C. Cazals;H. Benelcadi;P.-L. Frison;G. Mercier;C. Lardeux;N. Chehata;I. Champion;J.-P. Rudant
Author_Institution :
Université
fDate :
7/1/2015 12:00:00 AM
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 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.
Keywords :
"Wavelet transforms","Remote sensing","Spatial resolution","Radar","Wavelet analysis"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7325822
