Automatic Radiometric Normalization of Multitemporal Satellite Imagery

Morton J. Canty, Allan Aasbjerg Nielsen, Michael Schmidt

    Research output: Contribution to journalJournal articleResearchpeer-review

    572 Downloads (Pure)


    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
    Issue number3-4
    Pages (from-to)441-451
    Publication statusPublished - 2004


    Dive into the research topics of 'Automatic Radiometric Normalization of Multitemporal Satellite Imagery'. Together they form a unique fingerprint.

    Cite this