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Communication Dans Un Congrès Année : 2007

Feature detection in POLinSAR images by an interactive fuzzy fusion approach. Application to glacier monitoring

Résumé

Interferometry in POLSAR performs two acquisitions (spatially separated by the baseline) of the scattering matrix for each resolution cell. The advantages of interferometry (height and/or displacement information) are enhanced by the polarimetric decomposition techniques. In this paper a two-step approach is proposed to obtain specific features from multivariate SAR data sets, either multi-temporal InSAR or POL-InSAR. The first step consists in extracting image attributes related to the useful information. The second step consists in merging the attributes using a interactive fuzzy fusion technique. The interactive fuzzy fusion is proposed to provide end-users with a simple and easily understandable tool for tuning the detection results. A first application of the method is performed on a data set of five co-registered ERS 1/2 tandems from the French Alps (the Mont-Blanc region), including two temperate glaciers: the Argentière and the Mer-de-glace. A second application is the analysis of the scattering mechanisms with L-Band E-SAR POL-InSAR data.
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Dates et versions

hal-00164168 , version 1 (19-07-2007)

Identifiants

  • HAL Id : hal-00164168 , version 1

Citer

Gabriel Vasile, Emmanuel Trouvé, Lionel Valet, Jean-Marie Nicolas, Michel Gay, et al.. Feature detection in POLinSAR images by an interactive fuzzy fusion approach. Application to glacier monitoring. POLinSAR 2007 - 3rd International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Jan 2007, Frascati, Italy. pp.CDROM. ⟨hal-00164168⟩
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