Image Fusion with Probabilistic Approach
Jihed Elouni and Afef Benjemmaa. Article: Image Fusion with Probabilistic Approach. International Journal of Applied Information Systems 4(2):62-66, September 2012. BibTeX
@article{key:article, author = "Jihed Elouni and Afef Benjemmaa", title = "Article: Image Fusion with Probabilistic Approach", journal = "International Journal of Applied Information Systems", year = 2012, volume = 4, number = 2, pages = "62-66", month = "September", note = "Published by Foundation of Computer Science, New York, USA" }
Abstract
In this paper we present a method for image fusion based on a probabilistic approach. The objective is to obtain a segmented image from two images representing the same scene captured at the same moment. Image resulting could then be used to estimate finer.
Reference
- LUQUE A. , GOMEZ I. MANSO M. (2006). Convective rainfall rate multichannel algorithm for Meteosat-7 and radar derived calibration matrices. revue Atmosfera, Vol. 19, N°3, 145-168.
- WALD L. (1999). Data fusion, Lectures notes, Ecole des mines de Paris, Centre d'Energétique groupe télédétection et modélisation.
- [TAXT-94] : Taxt T. , Lundervold A. , Multispectral analysis of the brain using Magnetic Resonnance Imaging, IEEE Transactions on Medical Imaging septembre 1994, vol. 13, No. 3, pp 470-481.
- Marzouki A. , Statistical segmentation of radar images, PhD Thesis, University of Science and Technology of Lille in November 1996, 156 pages.
- Alain NIFLE and Roger REYNAUDAn argument for the choice between maximum and decision pignistic plausibility theory of evidence, SIXTEENTH SYMPOSIUM GRETSI - 15-19 September 1997 - GRENOBLE
- AMEUR Z. , IDENTIFICATION OF CLOUD MASSES BY MERGER IMAGE DATA (RADAR - SATELLITE) ,Larhyss Journal, ISSN 1112-3680, n° 06, Décembre 2007, pp. 105-120 © 2007
Keywords
probabilistic approach, GBT, Fusion, segmentation, images