Detecting changes in polarimetric SAR data with content-based image retrieval

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    9 Citations (Scopus)

    Abstract

    In this study, we extended the potential of a Content-Based Image Retrieval (CBIR) system based on Self-Organizing Maps (SOMs), for the analysis of remote sensing data. A database was artificially created by splitting each image to be analyzed into small images (or imagelets). Content-based image retrieval was applied to fully Polarimetric airborne SAR data, using a selection of Polarimetric features. After training the system on this imagelet database, automatic queries could detect changes. Results were encouraging on airborne SAR data and may be more useful for spaceborne Polarimetric data.

    Original languageEnglish
    Title of host publication2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages2390-2393
    Number of pages4
    ISBN (Electronic)978-1-4244-1212-9
    ISBN (Print)978-1-4244-1211-2
    DOIs
    Publication statusPublished - 1 Dec 2007
    MoE publication typeA4 Article in a conference publication
    Event2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 - Barcelona, Spain
    Duration: 23 Jun 200728 Jun 2007

    Conference

    Conference2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
    Abbreviated titleIGARSS 2007
    Country/TerritorySpain
    CityBarcelona
    Period23/06/0728/06/07

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