NDLI: Noise constrained hyperspectral data compression

Content Provider	IEEE Xplore Digital Library
Author	Rupert, S.T. Sharp, M.H. Sweet, J.N. Cincotta, E.J.
Copyright Year	2001
Description	Author affiliation: Mission Solutions, BAe Syst., San Diego, CA, USA (Rupert, S.T.)
Abstract	Hyperspectral data present significant challenges to downlinking, processing, and exploitation. Adaptive linear unmixing compression algorithms exploit spectral correlation to produce high compression ratios with little to no loss of significant information content. This paper presents an iterative adaptive linear unmixing compression method constrained by the estimated noise statistics of the hypercube. By dynamically optimizing the end-members for each pixel this method minimizes the number of components required to represent the spectrum of any given pixel, yielding a higher compression ratio with less information loss than conventional linear unmixing model approaches. The adaptive approach utilizes spatial connectivity to optimize the end-member selection process and noise statistics to limit data loss. We will demonstrate the effectiveness of this method with AVIRIS and HyMap/sup TM/ hyperspectral datasets.
Starting Page	94
Ending Page	96
File Size	110888
Page Count	3
File Format	PDF
ISBN	0780370317
DOI	10.1109/IGARSS.2001.976067
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hyperspectral imaging Data compression Application specific integrated circuits Compression algorithms Signal to noise ratio Statistics Layout Postal services Iterative methods Hypercubes
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

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