Performances evaluation of classification algorithms applied to SAR images

Delignon Y., Bégué Agnès. 1999. Performances evaluation of classification algorithms applied to SAR images. In : first International Symposium Physics in Signal and Image Processing, Paris, France, 18-19 janvier 1999. SEE. Paris : SEE, 8 p. International Symposium Physics in Signal and Image Processing. 1, Paris, France, 18 Janvier 1999/19 Janvier 1999.

Autre titre : Evaluation des performances des algorithmes de classification appliqués aux images SAR

Résumé : This paper focuses on the analysis of the statistical segmentation methods of SAR images. We present here a 2 years work of the national French research group on the classification of SAR images. This group gathers about 5 remote sensing research teams and 5 image processing laboratories. The collaboration between the two communities allowed to get an overview of the segmentation methods for SAR images and to point out the advantages of modelling, estimation methods or strategies of classification used in the different algorithms. This paper presents also the methodology of quantitative evaluation of the algorithms performances and the analysis of the remote sensing experts.

Mots-clés Agrovoc : télédétection, imagerie, radar, traitement des données, méthode statistique, réseau de recherche, contrôle continu

Mots-clés géographiques Agrovoc : France

Classification Agris : U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques

Auteurs et affiliations

• Delignon Y., ENIC (FRA)
• Bégué Agnès, CIRAD-AMIS-AGRONOMIE (FRA)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/482268/)

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