Title
Support Vector Machine for Multifrequency SAR Polarimetric Data Classification
Abstract
The objective of this paper is twofold: first, to assess the potential of radar data for tropical vegetation cartography and, second, to evaluate the contribution of different polarimetric indicators that can be derived from a fully polarimetric data set. Because of its ability to take numerous and heterogeneous parameters into account, such as the various polarimetric indicators under considerati...
Year
DOI
Venue
2009
10.1109/TGRS.2009.2023908
IEEE Transactions on Geoscience and Remote Sensing
Keywords
Field
DocType
Support vector machines,Support vector machine classification,Polarization,Radar scattering,Synthetic aperture radar,Radar polarimetry,Vegetation,Frequency,Backscatter,Scattering parameters
Radar,Polarimetry,Synthetic aperture radar,Backscatter,Support vector machine,Remote sensing,Data classification,Wishart distribution,Mathematics,Support vector machine classification
Journal
Volume
Issue
ISSN
47
12
0196-2892
Citations 
PageRank 
References 
51
2.13
21
Authors
7
Name
Order
Citations
PageRank
CÉdric Lardeux1646.39
Pierre-Louis Frison2708.10
Céline Tison329625.99
Jean-Claude Souyris412217.29
Benoit Stoll5707.08
BÉnÉdicte Fruneau6664.31
Jean-Paul Rudant79012.90