A study on detecting disaster damaged areas

Kohei Cho; Kiyonari Fukue; Osamu Uchida; Kazumi Terada; Hiroyuki Wakabayashi; Toshiaki Sato; Chi Farn Chen

A study on detecting disaster damaged areas

Kohei Cho, Kiyonari Fukue, Osamu Uchida, Kazumi Terada, Hiroyuki Wakabayashi, Toshiaki Sato, Chi Farn Chen

研究成果: 會議貢獻類型 › 會議論文 › 同行評審

4 引文斯高帕斯（Scopus）

摘要

On March 11, 2011, Great East Japan Earthquake struck Tohoku Region of Japan. Huge area along the coast of the northeast Japan was seriously damages by the magnitude 9.0 earthquake and subsequent tsunami. At that time, more than 5000 satellite images were taken within two weeks after the disaster under the international cooperation. The comparison of the images taken before and after the tsunami enhanced the serious damages of the area. In this study the authors have developed a method to compose the FORMOSAT-2/RSI images of before and after the disaster. The composed image enhanced the possible damaged areas.

原文	???core.languages.en_GB???
出版狀態	已出版 - 2015
事件	36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 - Quezon City, Metro Manila, Philippines 持續時間: 24 10月 2015 → 28 10月 2015

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???event.eventtypes.event.conference???	36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015
國家/地區	Philippines
城市	Quezon City, Metro Manila
期間	24/10/15 → 28/10/15

引用此

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title = "A study on detecting disaster damaged areas",

abstract = "On March 11, 2011, Great East Japan Earthquake struck Tohoku Region of Japan. Huge area along the coast of the northeast Japan was seriously damages by the magnitude 9.0 earthquake and subsequent tsunami. At that time, more than 5000 satellite images were taken within two weeks after the disaster under the international cooperation. The comparison of the images taken before and after the tsunami enhanced the serious damages of the area. In this study the authors have developed a method to compose the FORMOSAT-2/RSI images of before and after the disaster. The composed image enhanced the possible damaged areas.",

keywords = "FORMOSAT-2, Great East Japan Earthquake, Remote sensing, Tohoku",

author = "Kohei Cho and Kiyonari Fukue and Osamu Uchida and Kazumi Terada and Hiroyuki Wakabayashi and Toshiaki Sato and Chen, {Chi Farn}",

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TY - CONF

T1 - A study on detecting disaster damaged areas

AU - Cho, Kohei

AU - Fukue, Kiyonari

AU - Uchida, Osamu

AU - Terada, Kazumi

AU - Wakabayashi, Hiroyuki

AU - Sato, Toshiaki

AU - Chen, Chi Farn

PY - 2015

Y1 - 2015

N2 - On March 11, 2011, Great East Japan Earthquake struck Tohoku Region of Japan. Huge area along the coast of the northeast Japan was seriously damages by the magnitude 9.0 earthquake and subsequent tsunami. At that time, more than 5000 satellite images were taken within two weeks after the disaster under the international cooperation. The comparison of the images taken before and after the tsunami enhanced the serious damages of the area. In this study the authors have developed a method to compose the FORMOSAT-2/RSI images of before and after the disaster. The composed image enhanced the possible damaged areas.

AB - On March 11, 2011, Great East Japan Earthquake struck Tohoku Region of Japan. Huge area along the coast of the northeast Japan was seriously damages by the magnitude 9.0 earthquake and subsequent tsunami. At that time, more than 5000 satellite images were taken within two weeks after the disaster under the international cooperation. The comparison of the images taken before and after the tsunami enhanced the serious damages of the area. In this study the authors have developed a method to compose the FORMOSAT-2/RSI images of before and after the disaster. The composed image enhanced the possible damaged areas.

KW - FORMOSAT-2

KW - Great East Japan Earthquake

KW - Remote sensing

KW - Tohoku

UR - http://www.scopus.com/inward/record.url?scp=84964038584&partnerID=8YFLogxK

M3 - 會議論文

AN - SCOPUS:84964038584

T2 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015

Y2 - 24 October 2015 through 28 October 2015

ER -

A study on detecting disaster damaged areas

摘要

???event.eventtypes.event.conference???

指紋

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