NDLI: The Kohonen map for credal classification of large multispectral images

Content Provider	IEEE Xplore Digital Library
Author	Hammami, I. Mercier, G. Hamouda, A.
Copyright Year	2014
Description	Author affiliation: Fac. des Sci. de Tunis, El Manar, Tunisia (Hamouda, A.) \|\| Lab.-STICC/CID, Telecom Bretagne, Brest, France (Hammami, I.; Mercier, G.)
Abstract	In the framework of the evidence theory, several approaches for estimating belief functions have been proposed. However, they generally suffer from the problem of masses attribution in case of compound hypotheses that lose much conceptual contribution of the theory. In this paper, an original method for estimating mass functions using the Kohonen map derived from the initial feature space and an initial classifier is proposed. Our approach allows a smart mass belief assignment, not only for simple hypotheses, but also for disjunctions and conjunctions of hypotheses. Thus, it can model at the same time ignorance, imprecision and paradox. The proposed method for basic belief assignment (BBA) is of interested for solving estimation mass functions problems where a large quantities of multi-variate data is available, such as remote sensing images. Indeed, the use of the Kohonen map simplify the process of assigning mass functions. In order to experimentally validate our work, we applied the proposed method to real data sets on image classification problem. Experimentation on SPOT images show that our approach gives better results than other methods presented in the literature.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	3706
Ending Page	3709
File Size	3923504
Page Count	4
File Format	PDF
ISBN	9781479957750
DOI	10.1109/IGARSS.2014.6947288
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Remote sensing Vectors Compounds Measurement Synthetic aperture radar Electronic countermeasures
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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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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