Hyperspectral Data, Change Detection and the MAD Transformation

Allan Aasbjerg Nielsen, Andreas Müller, Wouter Dorigo

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    This paper deals with the application of the MAD transformation to change detection in bi-tempotal hyperspectral data. Several processing schemes are proposed in order to facilitate both the actual change detection, the many variables involved and the spatial nature of the data.
    Original languageEnglish
    Title of host publication12th Australasian Remote Sensing and Photogrammetry Conference, Session keynote address
    Publication date2004
    Publication statusPublished - 2004


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