Development of building damage estimation model integrated from seismic intensity and optical image analysis

• Project/Area Number: 26750131
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Natural disaster / Disaster prevention science
• Research Institution: Hiroshima University
• Principal Investigator: Hiroyuki Miura 広島大学, 工学研究院, 准教授 (30418678)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Project Status: Completed (Fiscal Year 2016)
• Budget Amount: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000); Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000); Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
• Keywords: 地震被害 / リモートセンシング / 非線形写像 / テクスチャ解析 / 非線形写像法 / 画像テクスチャ解析 / 建物被害 / 災害把握 / リモートセンシング画像 / 強震動予測

Outline of Final Research Achievements

Building damage detection technique is developed by utilizing non-linear mapping-based geometric correction, radiometric correction by histogram equalization, and change detection from image texture analysis. Building damage estimation model is developed integrated from seismic intensity and the proposed image texture feature using the aerial photographs, building damage data and seismic intensity data observed in the 2016 Kumamoto earthquake.

Research Products

• [Journal Article] 兵庫県南部地震後の被害地震での推計震度分布図に基づく激震動の出現面積 (2016)
  • Author(s): 三浦弘之, 翠川三郎
  • Journal Title: 日本地震工学論文集 Volume: 16 (2) Pages: 64-73
  • NAID: 130005128939
  • Peer Reviewed
• [Journal Article] テクスチャ解析に基づくリモートセンシング画像からの建物被害検出 (2016)
  • Author(s): 後藤智博, 三浦弘之
  • Journal Title: 日本建築学会中国支部研究報告集 Volume: 39 Pages: 144-144
  • NAID: 110010036168
  • Acknowledgement Compliant
• [Journal Article] 非線形写像法による航空レーザ測量データの幾何補正とそれに基づく2014年広島豪雨災害での崩壊土砂量の推定 (2015)
  • Author(s): 三浦弘之, 弓真由子
  • Journal Title: 地域安全学会論文集 Volume: 27 Pages: 283-291
  • NAID: 130005893204
  • Peer Reviewed
• [Journal Article] 非線形写像法を用いた高分解能衛星画像からの建物被害検出 (2015)
  • Author(s): 木原健吾，三浦弘之
  • Journal Title: 日本建築学会中国支部研究報告集 Volume: 38 Pages: 1013-1016
  • Acknowledgement Compliant
• [Presentation] ヒストグラム平坦化とテクスチャ解析による光学センサ画像からの倒壊建物の検出 -2016年熊本地震における航空写真を用いた検討- (2017)
  • Author(s): 後藤智博, 三浦弘之
  • Organizer: 日本建築学会大会
  • Place of Presentation: 広島工業大学
  • Year and Date: 2017-08-30
• [Presentation] Building Damage Detection from Optical Images based on Histogram Equalization and Texture Analysis Following the 2016 Kumamoto, Japan Earthquake (2017)
  • Author(s): Goto, T., Miura, H., Matsuoka, M., Mochizuki, K. and Koiwa, H.
  • Organizer: International Symposium on Remote Sensing 2017
  • Place of Presentation: 名古屋大学
  • Year and Date: 2017-05-17
  • Int'l Joint Research
• [Presentation] Soil Volume Estimation in Debris Flow Areas Using LiDAR Data in the 2014 Hiroshima, Japan Rainstorm (2015)
  • Author(s): Miura, H.
  • Organizer: SPIE Remote Sensing
  • Place of Presentation: Toulouse, France
  • Year and Date: 2015-09-21
  • Int'l Joint Research