Development of damage detection system in natural disasters at nighttime using aerial thermal infrared images taken from UAV

2014 Fiscal Year Final Research Report

• Project/Area Number: 25560174
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Natural disaster / Disaster prevention science
• Research Institution: Chiba University
• Principal Investigator: YAMAZAKI Fumio 千葉大学, 工学(系)研究科(研究院), 教授 (50220322)
• Project Period (FY): 2013-04-01 – 2015-03-31
• Keywords: 自然災害 / 建物被害 / 無人小型ヘリコプター / 熱画像 / 光学画像 / 3Dモデル

Outline of Final Research Achievements

In this research, the methods to extract building damage due to natural disasters from unmanned aerial vehicles (UAVs) are investigated. Thermal and optical images were acquired from a small manned helicopter in the daytime and nighttime just after the 2012 tornado that hit Tsukuba City. Comparing these images and field survey data, the possibility to extract building damage from aerial thermal images was suggested. Furthermore, an attempt to construct 3D digital models was carried out using aerial images take from a UAV for damaged buildings due to the 2011 Tohoku earthquake tsunami.

Free Research Field

都市システム安全工学