000018672 001__ 18672
000018672 005__ 20170118182236.0
000018672 04107 $$aeng
000018672 046__ $$k2017-01-09
000018672 100__ $$aGokon, Hideomi
000018672 24500 $$aDetecting Tsunami-Induced Damage on Building Side Walls Using X-Band of Post-Event Airborne Full Polarimetric Sar Data

000018672 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000018672 260__ $$b
000018672 506__ $$arestricted
000018672 520__ $$2eng$$aA new method for detecting tsunami-induced damage on a building side wall is proposed using X-band of post-event full polarimetric airborne synthetic aperture radar (Pi-SAR2) data. Buildings with destroyed walls are distinguished based on the ratio of the double-bounce scattering power to the total scattering power in the building layover areas. A building side wall shows bright backscattering induced by layover and double-bounce scattering. If the lower part of a building side wall is destroyed by a tsunami, double-bounce scattering, which is dominant in the lower part of the wall, may be absent and its scattering power may decrease. Considering the radar properties in terms of building side walls, a method for distinguishing destroyed building side walls was developed using post-event full polarimetric SAR (PolSAR) data. A four-component decomposition model and the Yamaguchi four-component decomposition scheme were applied to compute the doublebounce scattering power using polarimetric SAR data. The ratio of the double-bounce scattering power to the total scattering power in the layover area was estimated and correlated with the surveyed data. A classifier for damage detection was created using this data set. To create the classifier, a decision tree application of a machine learning algorithm was applied, which discriminates between “destroyed” and “undestroyed” building side walls. The developed classifier was validated using 12 buildings with 48 side walls and demonstrated satisfactory performance with 77.1 % accuracy and a kappa statistic of 0.48.

000018672 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000018672 653__ $$atsunami, remote sensing, SAR, building damage

000018672 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000018672 720__ $$aGokon, Hideomi$$iJimbo, Masaru$$iKoshimura, Shunichi$$iKoyama, Christian$$iSato, Motoyuki$$iMeguro, Kimiro
000018672 8560_ $$ffischerc@itam.cas.cz
000018672 8564_ $$s1199380$$uhttps://invenio.itam.cas.cz/record/18672/files/1962.pdf$$yOriginal version of the author's contribution as presented on USB, paper 1962.
000018672 962__ $$r16048
000018672 980__ $$aPAPER