Building damage estimation model using terrasar-X observing the 2010 Haiti earthquake

Masashi Matsuoka, Hiroyuki Miura, Shunichi Koshimura, Yoshihisa Maruyama

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

    Abstract

    With the aim of developing a model for estimating building damage from high-resolution synthetic aperture radar (SAR) data at X-band, which is appropriate for Haiti, we propose a regression discriminant function based on damage interpretation dataset in Port-au-Prince, which was seriously affected by the 2010 Haiti earthquake. The function can discriminate damage ranks corresponding to the severe damage ratio of buildings using TerraSAR-X imagery of the disaster area before and after the earthquake. By calculating the difference in and correlation of backscattering coefficient, which were explanatory variables of the regression discriminant function, a normalized likelihood function for the severe damage ratio was developed based on discriminant scores of the regression discriminant function.

    Original languageEnglish
    Title of host publication34th Asian Conference on Remote Sensing 2013, ACRS 2013
    PublisherAsian Association on Remote Sensing
    Pages3646-3652
    Number of pages7
    ISBN (Print)9781629939100
    Publication statusPublished - 2013 Jan 1
    Event34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
    Duration: 2013 Oct 202013 Oct 24

    Publication series

    Name34th Asian Conference on Remote Sensing 2013, ACRS 2013
    Volume4

    Other

    Other34th Asian Conference on Remote Sensing 2013, ACRS 2013
    Country/TerritoryIndonesia
    CityBali
    Period13/10/2013/10/24

    Keywords

    • Backscattering coefficient
    • Building damage ratio
    • Haiti
    • Likelihood function
    • TerraSAR-X image

    ASJC Scopus subject areas

    • Computer Networks and Communications

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