Back to Search Start Over

Resolution- Independent Characteristic Scale Dedicated to Satellite Images

Authors :
Saïd Ladjal
Yann Gousseau
Jean-François Aujol
Bin Luo
Henri Maitre
Laboratoire Traitement et Communication de l'Information (LTCI)
Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)
Centre de Mathématiques et de Leurs Applications (CMLA)
École normale supérieure - Cachan (ENS Cachan)-Centre National de la Recherche Scientifique (CNRS)
Cnes-Dlr Competence Centre
Département Traitement du Signal et des Images (TSI)
Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS)
Aujol, Jean-François
Télécom Paristech, Admin
Maitre, Henri
Source :
IEEE Transactions on Image Processing, IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2007, 16 (10), pp.2503-2514
Publication Year :
2007
Publisher :
HAL CCSD, 2007.

Abstract

International audience; We study the problem of finding the characteristic scale of a given satellite image. This feature is defined so that it does not depend on the spatial resolution of the image. This is a different problem than achieving scale invariance, as often studied in the literature. Our approach is based on the use of a linear scale-space and the total variation. The critical scale is defined as the one at which the normalized total variation reaches its maximum. It is shown experimentally, both on synthetic and real data, that the computed characteristic scale is resolution independent.

Details

Language :
English
ISSN :
10577149
Database :
OpenAIRE
Journal :
IEEE Transactions on Image Processing, IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2007, 16 (10), pp.2503-2514
Accession number :
edsair.doi.dedup.....21df7e3d52911e78efab0dbc227e95fc