Automatic Radiometric Normalization of Multitemporal Satellite Imagery

Morton J. Canty, Allan Aasbjerg Nielsen, Michael Schmidt

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    Abstract

    The linear scale invariance of the multivariate alteration detection (MAD) transformation is used to obtain invariant pixels for automatic relative radiometric normalization of time series of multispectral data. Normalization by means of ordinary least squares regression method is compared with normalization using orthogonal regression. The procedure is applied to Landsat TM images over Nevada, Landsat ETM+ images over Morocco, and SPOT HRV images over Kenya. Results from this new automatic, combined MAD/orthogonal regression method, based on statistical analysis of test pixels not used in the actual normalization, compare favorably with results from normalization from manually obtained time-invariant features.
    Original languageEnglish
    JournalRemote Sensing of Environment
    Volume91
    Issue number3-4
    Pages (from-to)441-451
    ISSN0034-4257
    DOIs
    Publication statusPublished - 2004

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