NDLI: Weighted features for cluster space classificaton of hyperspectral images

Content Provider	IEEE Xplore Digital Library
Author	Theam Foo Ng Xiuping Jia Pham, T.D.
Copyright Year	2012
Description	Author affiliation: Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia (Theam Foo Ng; Xiuping Jia; Pham, T.D.)
Abstract	This paper introduces the use of clustering algorithm using weighted features in cluster space classification of hyperspectral data. The best weights are obtained via an optimization process to seek the most compact clusters. This procedure is integrated in a cluster space classification, where the distribution of class of interest data is represented by the set of the clusters generated, instead of adopting the Gaussian distribution assumption. In essence, this is a combined supervised and unsupervised classification methodologies. Experiments were conducted using a HyMap data and the advantages offered by this nonparametric multi-signature classification scheme are demonstrated with improved classification accuracy.
Starting Page	1
Ending Page	4
File Size	257524
Page Count	4
File Format	PDF
e-ISBN	9781479934065
DOI	10.1109/WHISPERS.2012.6874314
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Clustering algorithms Hyperspectral Classification Educational institutions Classification algorithms Indexes Clustering Remote sensing Optimization Feature weighting
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
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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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