Statistical hypothesis test for maritime pine forest SAR images classification based on the geodesic distance
Langue
en
Communication dans un congrès
Ce document a été publié dans
IEEE International Geoscience and Remote Sensing Symposium Proceedings, IEEE International Geoscience and Remote Sensing Symposium Proceedings, IGARSS 2015, Remote sensing: understanding the Earth for a safer world, 2015-07-26, Milan. 2015
Résumé en anglais
This paper introduces a new statistical hypothesis test for image classification based on the geodesic distance. We present how it can be used for the classification of texture image. The proposed method is then employed ...Lire la suite >
This paper introduces a new statistical hypothesis test for image classification based on the geodesic distance. We present how it can be used for the classification of texture image. The proposed method is then employed for the classification of Polarimetric Synthetic Aperture Radar images of maritime pine forests on both simulated data with the PolSARproSim software and real data acquired during the ONERA RAMSES campaign in 2004.< Réduire
Mots clés en anglais
hypothesis test
SAR
geodesic distance
classification
Origine
Importé de halUnités de recherche