Besma Souissi

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Polarimetric classification is one of the most significant applications of polarimetric radar in remote sensing. During the last decade, several research tasks revealed the contribution of polarimetric data in classification of soil types and landcover. They contributed thus to a better comprehension of the scattering mechanisms. We propose in this paper a(More)
Applying a phase difference between two SLC SAR images acquired on the same area, radar interferometry is able to measure the topography or ground displacement with a good precision. Because of the noisy nature of interferograms, fully polarimetric data offers the possibility to separate scattering contributions of different natures. Polarimetric(More)
Recently, the characterization and classification of terrain-cover using polarimetric SAR data has been extensively investigated and reported on (J.S.Lee, 1994). In this paper we re-examine the entropy-alpha approach (J.S.Lee, 1999) to radar polarimetry and show how the basic method may be augmented by the addition of the polarimetric signature parameters(More)
Conjoint analysis seeks to explain an ordered categorical ordinal variable according to several variables using a multiple regression scheme. A common problem encountered, there, is the presence of missing values in classification-ranks. In this paper, we are interested in the cases where consumers provide a ranking of some products instead of rating these(More)
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