NDLI: Multi frequency polarimetric sar data classification

Content Provider	Springer Nature Link
Author	Ferro Famil, Laurent Pottier, Eric
Copyright Year	2001
Abstract	Multi frequency polarimetric sar data classification requires to consider the polarimetrie information from each data set simultaneously.Dual data sets are classified using an iterative k-mean algorithm based on a maximum likelihood decision rule evaluated from the Wishart polarimetrie density of the 6×6 coherency matrix.An alternative technique is also proposed which introduces the polarimetrie cross-correlation information to refine the results of classification to a small number of clusters using the conditional probability of the cross-correlation matrix.Both new multi frequency polarimetric sar data classification methods are applied to sar data acquired over the Nezer forest (nasa /jpl AirSAR database (1989)).La classification de données sar polarimétriques multifréquences appairées nécessite la prise en compte de façon simultanée de ľinformation polarimétrique totale de chacune des images. Les données appairées sont classées au moyen ďun algorithme itératif des k-moyens basé sur une règle de décision au maximum de vraisemblance évaluée à partir de la densité de probabilité de Wishart de la matrice de cohérence polarimétrique 6×6.Une seconde méthode est proposée qui, à partir de ľinformation liée à ľintercorrélation polarimétrique, permet ďaffiner les résultats ďune classification avec un nombre de classes peu élevé, en créant des classes de façon itérative à partir du calcul de la densité de probabilité conditionnelle de la matrice ďintercorrélation.Les deux nouvelles méthodes de classification de données sar polarimétriques multi-fréquence appairées sont appliquées sur des images SAR polarimétriques de la forêt de Nezer (nasa /jpl AirSAR database (1989)).
Starting Page	510
Ending Page	522
Page Count	13
File Format	PDF
ISSN	00034347
Journal	Annales Des Télécommunications
Volume Number	56
Issue Number	9-10
e-ISSN	19589395
Language	English
Publisher	Springer-Verlag
Publisher Date	2001-01-01
Publisher Place	Paris
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Télédétection Radar ouverture synthétique Polarimétrie Régime multifréquentiel Analyse donnée Classification automatique Végétation Communications Engineering, Networks Information Systems and Communication Service Signal, Image and Speech Processing Computer Communication Networks Information and Communication, Circuits R & D/Technology Policy
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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