Restoration of GERIS Data Using the Maximum Noise Fractions Transform

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    Abstract

    The Maximum Noise Fractions (MNF) transformation is used as a restoration tool in a 512512 subscene of a 63 channel spectral dataset recorded over the Pyrite Belt in Southern Spain with the Geophysical Environmental Research Imaging Spectrometer (GERIS). The data obtained from such a scanning device are very useful in e.g. mineral exploration and environmental surveillance. Following the transformation from the original image space into theMNF space, a Fourier transformation of the MNFs (which are ordered by signal-tonoise ratio) will show more and more noise content. Also, the strong striping in primarily the visual bands of the scanner will be very conspicuous in the Fourier domain of only a few MNFs. We automatically detect the peaks in the Fourier spectra representing this striping, and if so desiredwe replace them by an iterated local mean value. Transforming back into the MNF space by the inverse Fourier transformation gives restored MNFs and transforming back into the original image space gives restored original bands. If we want to remove salt-and-pepper noise also, we can replace the noise-only MNFs by their mean value before transforming back into the original image space. This noise removal is very important along with atmospheric correction of the data before performing physically oriented analysis.
    Original languageEnglish
    Title of host publicationProceedings from the First International Airborne Remote Sensing Conference and Exhibition
    Publication date1994
    Pages557-568
    Publication statusPublished - 1994
    EventProceedings from the First International Airborne Remote Sensing Conference and Exhibition -
    Duration: 1 Jan 1994 → …

    Conference

    ConferenceProceedings from the First International Airborne Remote Sensing Conference and Exhibition
    Period01/01/1994 → …

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