DocumentCode
339492
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
Volume
3
fYear
1999
fDate
1999
Firstpage
1792
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location
Hamburg
Print_ISBN
0-7803-5207-6
Type
conf
DOI
10.1109/IGARSS.1999.772097
Filename
772097
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