Damage detection due to the typhoon haiyan from high-resolution SAR images

Wen Liu, Masashi Matsuoka, Bruno Adriano, Erick Mas, Shunichi Koshimura

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

    2 Citations (Scopus)

    Abstract

    A strong typhoon "Haiyan" affected Southeast Asia on November 8, 2013, caused gigantic destruction in the Philippines. In this study, two pre- and one post-event COSMO-SkyMed SCSB data were used to detect the damaged area around Tacloban City, Leyte Island. First, the severe damaged areas were detected according to the difference between the pre- and post-event speckle divergence values. Then the pre- and co-event coherence (NDCI) and correlation coefficient (NDCOI) were calculated from the three temporal data. The relationships between the four building damage levels and NDCI or NDCOI value were obtained by introducing the visual interoperation result. Using this relationship, the possibility of each damage class was estimated in the whole urban area.

    Original languageEnglish
    Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages4828-4831
    Number of pages4
    ISBN (Electronic)9781479957750
    DOIs
    Publication statusPublished - 2014 Nov 4
    EventJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada
    Duration: 2014 Jul 132014 Jul 18

    Publication series

    NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

    Other

    OtherJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
    Country/TerritoryCanada
    CityQuebec City
    Period14/7/1314/7/18

    Keywords

    • COSMO-SkyMed data
    • building damage
    • coherence
    • correlation coefficient
    • speckle divergence

    ASJC Scopus subject areas

    • Computer Science Applications
    • Earth and Planetary Sciences(all)

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