NDLI: Assessment of compact polarimetry over different tropical environment and dataset

Content Provider	IEEE Xplore Digital Library
Author	Lardeux, C. Niamen, D. Routier, J.B. Giraud, A. Frison, P.L. Pottier, E. Rudant, J.P.
Copyright Year	2010
Description	Author affiliation: University of Rennes1, IETR Laboratory,263 Avenue Général Leclerc, 35042, France (Lardeux, C.; Pottier, E.) \|\| University of Paris-Est Marne-la-Vallée, GPMC Team, 77245 Champs sur Marne, France (Niamen, D.; Frison, P.L.; Rudant, J.P.) \|\| ONF-International, 2 avenue de Saint-Mandé, 75570 Paris Cedex 12, France (Routier, J.B.; Giraud, A.)
Abstract	This paper presents different radar polarimetric modes over different study sites in Tropical environment: Full polarimetry (FP), Dual Polarimetry (DP) and Compact Polarimetry (CP). By using SVM classification, we show the capabilities of each polarimetric mode linked to the scattering model assumption of the fully polarimetric reconstruction for CP mode proposed by Souyris et al‥ We are focused on 3 study sites which have different landscape: Tubuai in French Polynesia (AIRSAR data), the Fazenda São Nicolau in Brazil and Cayenne in French Guyana (PALSAR data). It shown that the reflection symmetry assumption may not be verified due to spatial heterogeneity or due to the definition of the study classes. Even if the choice of the DP modes is strongly dependant of the study site, the CP mode have shown equivalent or better overall accuracy than the other DP modes, particularly when the study area are very homogeneous.
Starting Page	3279
Ending Page	3282
File Size	167057
Page Count	4
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5650916
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Polarimetry Pixel Vegetation mapping Radar polarimetry Scattering forestry polarimetry SVM classification
Content Type	Text
Resource Type	Article

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