Publication
Title
Solving the hyperspectral unmixing problem with projection onto convex sets
Author
Abstract
An important problem in hyperspectral unmixing is solving the inversion problem, which determines the abundances of each endmember in each pixel, taking the constraints on these abundances into account. In this paper, we present a new geometrical method for solving this inversion problem, based on the equivalence with the simplex projection problem, and projection onto convex sets. By writing the simplex as an intersection of a plane and convex halfspaces, an alternating projection algorithm is constructed based on the Dykstra algorithm. We show that the resulting algorithm can be used to successfully solve the spectral unmixing problem, and yields results that are comparable to those obtained with state-of-the-art methods. The runtime required is very competitive, and the very simple nature of the algorithm allows for highly efficient implementations.
Language
English
Source (book)
EUSIPCO 2013 : 21th European Signal Processing Conference, Marrakech, Morocco, September 9-13, 2013
Publication
S.l. : 2013
Volume/pages
(2013), 5 p.
ISI
000341754500001
Full text (open access)
UAntwerpen
Faculty/Department
Research group
[E?say:metaLocaldata.cgzprojectinf]
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 30.07.2014
Last edited 06.11.2017
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