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    Assessing the Performance of Independent Component Analysis in Remote Sensing Data Processing

    Access Status
    Fulltext not available
    Authors
    Gholami, Raoof
    Moradzadeh, A.
    Yousefi, M.
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Gholami, R. and Moradzadeh, A. and Yousefi, M. 2012. Assessing the Performance of Independent Component Analysis in Remote Sensing Data Processing. Journal of the Indian Society of Remote Sensing. 40 (4): pp. 577-588.
    Source Title
    Journal of the Indian Society of Remote Sensing
    DOI
    10.1007/s12524-011-0189-9
    ISSN
    0255-660X
    School
    Curtin Sarawak
    URI
    http://hdl.handle.net/20.500.11937/12705
    Collection
    • Curtin Research Publications
    Abstract

    Independent component analysis (ICA) is a novel method to be considered as a powerful type of analysis in the process of source signal separation. Based on the capabilities of this particular analysis, there will be a hypothesis of applying ICA in the image processing of remote sensing data. This paper aims to introduce the ability of ICA in contrasting and highlighting some area with potential of mineralization. Considering and applying ICA transformation on the ETM+ image of southern Masule, Iran has resulted in finding some favorable points for further investigation. Moreover, sampling program on the indicated area has led to identify some huge, unexpected lithology and dikes. ICA analysis is a robust method even in remote sensing data processing with the high speed and capabilities in separating source signals from noise. © 2012 Indian Society of Remote Sensing.

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