Buildings damage due to the 2013 Haiyan Typhoon inferred from SAR intensity images

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    In this study, a practical methodology is presented to classify and map damaged buildings, following the 2013 Super Typhoon Haiyan, using high resolution synthetic aperture radar (SAR) images and post-event building damage data from Tacloban city, The Philippines. Considering the relationship of the radar layover extension between damaged and non-damaged structures, the method focuses on the changes in the building radar signature between pre- and post-event SAR scenes. In addition, the method introduces a new change factor for change detection analysis. The method was developed and tested using a 1.0 m resolution COSMO-SkyMed SAR images taken over Tacloban city, the Philippines. The method proves, with 76% accuracy in this case, to be suitable for estimating destroyed buildings.

    Original languageEnglish
    Title of host publicationProceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages667-671
    Number of pages5
    ISBN (Electronic)9781467372961
    DOIs
    Publication statusPublished - 2015 Oct 23
    Event5th IEEE Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015 - Singapore, Singapore
    Duration: 2015 Sept 12015 Sept 4

    Publication series

    NameProceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015

    Other

    Other5th IEEE Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015
    Country/TerritorySingapore
    CitySingapore
    Period15/9/115/9/4

    Keywords

    • 2013 Typhoon Haiyan
    • Building damage extraction
    • COSMO-SkyMed SAR
    • change detection

    ASJC Scopus subject areas

    • Signal Processing
    • Instrumentation

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