Terrain categorization and target detection algorithms applied to hyperspectral imagery (HSI) typically operate on the measured reflectance (of sun and sky illumination) by an object or scene. Since the reflectance is a non-dimensional ratio, the reflectance by an object is nominally not affected by variations in lighting conditions. Atmospheric correction (referred to as atmospheric compensation, characterization, etc.) algorithms (ACAs) are used in applications of remotely sensed HSI data to correct for the effects of atmospheric propagation on measurements acquired by air and space-borne systems. The fast line-of-sight atmospheric analysis of spectral hypercubes (FLAASH) algorithm is an ACA created for HSI applications in the visible through shortwave infrared (Vis-SWIR) spectral regime. FLAASH derives its 'physics-based' mathematics from MODTRAN4.


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    Titel :

    Exploiting MODTRAN radiation transport for atmospheric correction: The FLAASH algorithm


    Beteiligte:
    Berk, A. (Autor:in) / Adler-Golden, S.M. (Autor:in) / Ratkowski, A.J. (Autor:in) / Felde, G.W. (Autor:in) / Anderson, G.P. (Autor:in) / Hoke, M.L. (Autor:in) / Cooley, T. (Autor:in) / Chetwynd, J.H. (Autor:in) / Gardner, J.A. (Autor:in) / Matthew, M.W. (Autor:in)


    Erscheinungsdatum :

    2002-01-01


    Format / Umfang :

    476036 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Exploiting MODTRAN Radiation Transport for Atmospheric Correction: The FLAASH Algorithm

    Berk, A. / Adler-Golden, S. M. / Ratkowski, A. J. et al. | British Library Conference Proceedings | 2002



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

    Matthew, M.W. / Adler-Golden, S.M. / Berk, A. et al. | IEEE | 2002


    Atmospheric Correction of Spectral Imagery: Evaluation of the FLAASH Algorithm with AVIRIS Data

    Matthew, M. / Adler-Golden, S. / Berk, A. et al. | British Library Conference Proceedings | 2002