NDLI: An optimization perspective onwinter's endmember extraction belief

Content Provider	IEEE Xplore Digital Library
Author	Tsung-Han Chan Wing-Kin Ma Ambikapathi, A. Chong-Yung Chi
Copyright Year	2011
Description	Author affiliation: Dept. Electronic Eng., Chinese Univ. of Hong Kong, Shatin, N.T., Hong Kong (Wing-Kin Ma) \|\| Inst. Communications Eng. & Dept. Electrical Eng., National Tsing Hua Univ., Hsinchu, Taiwan (Tsung-Han Chan; Ambikapathi, A.; Chong-Yung Chi)
Abstract	In this paper, we describe a continuous optimization perspective on Winter's simplex volume maximization belief for endmember extraction in hyperspectral remote sensing. Winter's belief, proposed in the late 90's, is very insightful and has led to one of the most widely used class of endmember extraction algorithms nowadays—N-FINDR. Our endeavor to revisit this problem is to provide an alternative, systematic, framework of formulating and understanding Winter's belief. Under the continuous optimization formulation of Winter's belief, we show a fundamental result that the existence of pure pixels is not only sufficient for the Winter problem to perfectly identify the ground-truth endmembers, but also necessary. Then, we derive two Winter-based algorithms based on two different optimization strategies. Interestingly, the resulting algorithms are found to be similar to an N-FINDR variant and the vertex component analysis (VCA) algorithm. Hence, the developed framework provides linkage and alternative interpretations to these existing algorithms. Simulation results are also presented to compare the derived Winter algorithms and several existing algorithms.
Starting Page	1143
Ending Page	1146
File Size	297042
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049399
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization Algorithm design and analysis Hyperspectral imaging Signal to noise ratio Vectors Successive optimization Endmember extraction Simplex volume maximization Alternating optimization
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
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in