Title
Towards streaming hyperspectral endmember extraction Towards streaming hyperspectral endmember extraction
Author
Faculty/Department
Faculty of Sciences. Physics
Publication type
conferenceObject
Publication
S.l. , [*]
Subject
Economics
Physics
Source (book)
IEEE IGARSS2011, IEEE International Geoscience and Remote Sensing Symposium , Vancouver, Canada, July 24-29, 2011
ISBN - Hoofdstuk
978-1-4577-1003-2
ISI
000297496302135
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
A prevalent methodology for extracting pure pixels from hyperspectral images has been the use of linear-mixture geometry, which dictates that pure components must reside at the corners of a simplex enclosing all the remaining points (the mixtures). Recently, adaptations to popular algorithms for estimating the largest simplex (e.g. N-findr) have been proposed, aimed to reduce their number of iterations and so shorten the execution time. This paper goes a step further, by proposing to perform the simplex maximization in a streaming fashion, that is, by evaluating one pixel at a time without using large buffers or subsequent pixels. This is achieved by reformulating the simplex measurement in terms of distance-based geometry. Besides, a new streaming simplex-growing initialization procedure is proposed. Tested on several natural scenes, the proposed algorithm is found to yield results comparable to those produced by the reference methods.
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000297496302135&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000297496302135&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
Handle