Contribution of radar polarimetric data for the cartography in tropical environment - Archive ouverte HAL
Conference Papers Year : 2008

Contribution of radar polarimetric data for the cartography in tropical environment

P.-L Frison
  • Function : Author
J.-C Souyris
  • Function : Author
C Tison
  • Function : Author
Benoit Stoll
J.-P Rudant
  • Function : Author

Abstract

The Support Vector Machine (SVM) algorithm is assessed for the classification of polarimetric radar data for the cartography of natural vegetation. Fully polarimetric data has been acquired in L and P bands during an AIRSAR mission over the French Polynesian Island named Tubuai. The results show significant improvement when compared to those obtained with the classification based on the maximum likehood criterion applied to the theoretical Wishart distribution that are supposed a priori to be verified by radar data. Obviously, this hypothesis is not verified with the present experimental data over the study site. The addition of other polarimetric indicators to the elements of the polarimetric coherency matrix still improves the classification accuracy.
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Dates and versions

hal-03792257 , version 1 (29-09-2022)

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C Lardeux, P.-L Frison, J.-C Souyris, C Tison, Benoit Stoll, et al.. Contribution of radar polarimetric data for the cartography in tropical environment. SPIE Asia-Pacific Remote Sensing, Nov 2008, Nouméa, New Caledonia. ⟨10.1117/12.808091⟩. ⟨hal-03792257⟩

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