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

Isaac Gerg

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

    5 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 - 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
    Country/TerritoryIceland
    CityReykjavik
    Period6/14/106/16/10

    All Science Journal Classification (ASJC) codes

    • Information Systems
    • Signal Processing

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