Publication
Title
Towards streaming hyperspectral endmember extraction
Author
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.
Language
English
Source (book)
IEEE IGARSS2011, IEEE International Geoscience and Remote Sensing Symposium , Vancouver, Canada, July 24-29, 2011
Publication
S.l. : 2011
ISBN
978-1-4577-1003-2
Volume/pages
p. 2519-2522
ISI
000297496302135
Full text (Publishers DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 03.11.2011
Last edited 06.05.2017
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