Title :
The potential of full polarimetric SAR data to classify dry snowcover
Author :
Ferro-Famil, L. ; Pottier, E. ; Saillard, J. ; Dedieu, J.P. ; Bernier, Martin ; Fortin, J.P.
Author_Institution :
IRESTE, Nantes Univ., France
Abstract :
The authors propose two polarimetric techniques to evaluate the potential of full polarimetric SAR data to classify dry snowcover. These decomposition methods can be used to compare different images of a site in order to characterize polarimetric variations that are closely linked to properties of the observed medium
Keywords :
geophysical signal processing; hydrological techniques; image classification; radar imaging; radar polarimetry; remote sensing by radar; snow; synthetic aperture radar; SAR; classification; decomposition method; dry snowcover; full polarimetric SAR; hydrology; measurement technique; polarization; radar polarimetry; radar remote sensing; snow cover; snow type; snowcover; snowpack; synthetic aperture radar; Eigenvalues and eigenfunctions; Electromagnetic scattering; Laboratories; Matrix decomposition; Radar imaging; Radar polarimetry; Radar scattering; Remote sensing; Scattering parameters; Snow;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.772097