DMCA
J Math Imaging Vis (2012) 42:163–175 DOI 10.1007/s10851-011-0276-0 On Endmember Identification in Hyperspectral Images Without Pure Pixels: A Comparison of Algorithms (2011)
BibTeX
@MISC{Plaza11jmath,
author = {Javier Plaza and Eligius M. T. Hendrix and Inmaculada García and Gabriel Martín and Antonio Plaza and J. Plaza and G. Martín and A. Plaza and G. Martín and A. Plaza and E. M. T. Hendrix and I. García and I. García},
title = {J Math Imaging Vis (2012) 42:163–175 DOI 10.1007/s10851-011-0276-0 On Endmember Identification in Hyperspectral Images Without Pure Pixels: A Comparison of Algorithms},
year = {2011}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract Hyperspectral imaging is an active area of re-search in Earth and planetary observation. One of the most important techniques for analyzing hyperspectral images is spectral unmixing, in which mixed pixels (resulting from in-sufficient spatial resolution of the imaging sensor) are de-composed into a collection of spectrally pure constituent spectra, called endmembers weighted by their correspondent fractions, or abundances. Over the last years, several algo-rithms have been developed for automatic endmember ex-traction. Many of them assume that the images contain at least one pure spectral signature for each distinct material. However, this assumption is usually not valid due to spa-tial resolution, mixing phenomena, and other considerations. A recent trend in the hyperspectral imaging community is to design endmember identification algorithms which do not assume the presence of pure pixels. Despite the prolifera-tion of this kind of algorithms, many of which are based on minimum enclosing simplex concepts, a rigorous quantita-
