Autoren
Hideomi Gokon, Joachim Post, Enrico Stein, Sandro Martinis, Andre Twele, Matthias Mück, Christian Geiß, Shunichi Koshimura, Masashi Matsuoka
Publikationsdatum
2015/2/16
Zeitschrift
IEEE Geoscience and Remote Sensing Letters
Band
12
Ausgabe
6
Seiten
1277-1281
Verlag
IEEE
Beschreibung
In this letter, a new approach is proposed to classify tsunami-induced building damage into multiple classes using pre- and post-event high-resolution radar (TerraSAR-X) data. Buildings affected by the 2011 Tohoku earthquake and tsunami were the focus in developing this method. In synthetic aperture radar (SAR) data, buildings exhibit high backscattering caused by double-bounce reflection and layover. However, if the buildings are completely washed away or structurally destroyed by the tsunami, then this high backscattering might be reduced, and the post-event SAR data will show a lower sigma nought value than the pre-event SAR data. To exploit these relationships, a rapid method for classifying tsunami-induced building damage into multiple classes was developed by analyzing the statistical relationship between the change ratios in areas with high backscattering and in areas with building damage. The …
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Google Scholar-Artikel
H Gokon, J Post, E Stein, S Martinis, A Twele, M Mück… - IEEE Geoscience and Remote Sensing Letters, 2015