An evaluation of three endmember extraction algorithms: ATGP, ICA-EEA & VCA

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this paper, we evaluate three endmember extraction algorithms for use in hyperspectral imagery unmixing: automatic target generation procedure (ATGP), independent component analysis endmember extraction algorithm (ICA-EEA), and vertex component analysis (VCA). We evaluate each algorithm's ability to find known pure pixels in a scene of simulated data. Several variations of simulated data are used to thoroughly examine the unmixing limits of each algorithm.

Original languageEnglish (US)
Title of host publication2nd Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publicationEvolution in Remote Sensing, WHISPERS 2010 - Workshop Program
DOIs
StatePublished - Nov 29 2010
Event2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Reykjavik, Iceland
Duration: Jun 14 2010Jun 16 2010

Publication series

Name2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program

Other

Other2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010
CountryIceland
CityReykjavik
Period6/14/106/16/10

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All Science Journal Classification (ASJC) codes

  • Information Systems
  • Signal Processing

Cite this

Gerg, I. (2010). An evaluation of three endmember extraction algorithms: ATGP, ICA-EEA & VCA. In 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program [5594830] (2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program). https://doi.org/10.1109/WHISPERS.2010.5594830