Development of Automated Damage Detection Technique for Urban Disasters Using High-resolution Satellite Images

利用高分辨率卫星图像开发城市灾害自动损害检测技术

基本信息

批准号：
17310090
负责人：
YAMAZAKI Fumio
金额：
$ 9.92万
依托单位：
Chiba University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2006
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17310090/
关键词：
High-resolution satellite images Earthquake damage Tsunami The 2004 Indian Ocean tsunami The 2006 Central Java earthquake Optical sensors object-based image segmentation and classification technique Building damage 高解像度衛星地震被害 QuickBir

项目摘要

In this study, automated damage detection technique was developed using high-resolution satellite images. Comparisons between pre- and post-event images were effective to show the affected areas by natural disasters, e.g., earthquakes and tsunami. In addition that, the technique to identify damaged areas only from the post-event images was also considered in this study. The damage detection technique was developed using the high-resolution satellite images captured in the 2004 Indian Ocean earthquake and the 2006 Central Java earthquake, and aerial photographs taken after the 2004 Mid-Niigata earthquake.To detect the affected areas by Indian Ocean tsunami in 2004, the normalized difference vegetation index (NDVI), soil index (NDSI), and water index (NDWI) were compared between the pre- and post-event images. The digital elevation model was also utilized to reveal the damaged areas.As for the 2006 Central Java earthquake, object-based image segmentation and classification technique as well as pixel-based technique have been applied to the satellite images. According to the results, the object-based image segmentation and classification technique was effective to identify the damaged areas especially for high-resolution satellite images.The damaged sections of expressways were detected by image processing using the aerial photographs in the 2004 Mid-Niigata earthquake. The overturning ratio of tombstones in a cemetery was estimated based on an image analysis of aerial photographs.

在这项研究中，使用高分辨率卫星图像开发了自动损伤检测技术。事前图像和事后图像之间的比较有效地显示了自然灾害，例如地震和海啸。此外，在本研究中还考虑了仅从事件后图像中识别损坏区域的技术。损坏检测技术是使用2004年印度洋地震和2006年爪哇中部地震捕获的高分辨率卫星图像开发的事前和事后图像。数字高程模型还用于揭示损坏的区域。作为2006年中央Java地震，基于对象的图像分割和分类技术以及基于像素的技术，已应用于卫星图像。根据结果，基于对象的图像分割和分类技术可有效识别受损区域，尤其是对于高分辨率卫星图像。通过使用图像处理，使用图像处理，使用2004年中期尼加塔中部地震中的空中照片来检测高速公路的损坏部分。根据航空照片的图像分析估算了墓地中墓碑的倾覆比。

项目成果

期刊论文数量（0）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

航空写真の画像解析による墓石転倒率の推定のための基礎的検討

航空照片图像分析估算墓碑倾覆率的基础研究

DOI：
发表时间：
2006
期刊：
地域安全学会論文集 8
影响因子：
0
作者：
日塔哲広;山崎文雄
通讯作者：
山崎文雄

Visual Damage Interpretation of Buildings in Bam City using QuickBird Images following the 2003 Bam, Iran, Earthquake

DOI：
10.1193/1.2101807
发表时间：
2005-12
期刊：
Earthquake Spectra
影响因子：
5
作者：
F. Yamazaki;Yoshihisa Yano;M. Matsuoka
通讯作者：
F. Yamazaki;Yoshihisa Yano;M. Matsuoka

Tsunami Damage Detection Using Moderate-Resolution Satellite Imagery

使用中分辨率卫星图像检测海啸损害

DOI：
发表时间：
2006
期刊：
Proceedings of the 8th National Conference on Earthquake Engineering (CD-ROM)
影响因子：
0
作者：
F.Yamazaki;K.Kouchi;M.Matsuoka
通讯作者：
M.Matsuoka

Damage Detection for 2003 Bam, Iran, Earthquake Using Terra-ASTER Satellite Imagery

使用 Terra-ASTER 卫星图像检测 2003 年伊朗巴姆地震的损害