With its combination of good spatial and spectral resolution, visible to near infrared spectral imaging from aircraft or spacecraft is a highly valuable technology for remote sensing of the Earth's surface. Typically it is desirable to eliminate atmospheric effects on the imagery, a process known as atmospheric correction. We review the basic methodology of first-principles atmospheric correction and present results from the latest version of the FLAASH (fast line-of-sight atmospheric analysis of spectral hypercubes) algorithm. We show some comparisons of ground truth spectra with FLAASH-processed AVIRIS (airborne visible/infrared imaging spectrometer) data, including results obtained using different processing options, and with results from the ACORN (atmospheric correction now) algorithm that derive from an older MODTRAN4 spectral database.


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    Titel :

    Atmospheric correction of spectral imagery: evaluation of the FLAASH algorithm with AVIRIS data


    Beteiligte:
    Matthew, M.W. (Autor:in) / Adler-Golden, S.M. (Autor:in) / Berk, A. (Autor:in) / Felde, G. (Autor:in) / Anderson, G.P. (Autor:in) / Gorodetzky, D. (Autor:in) / Paswaters, S. (Autor:in) / Shippert, M. (Autor:in)


    Erscheinungsdatum :

    2002-01-01


    Format / Umfang :

    450531 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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