一种改进的地震灾害倒塌房屋遥感信息自动识别方法

被引:14
作者
郭华东 [1 ]
鹿琳琳 [2 ]
马建文 [1 ]
Martino Pesaresi [3 ]
苑方艳 [1 ]
机构
[1] 中国科学院对地观测与数字地球科学中心数字地球科学重点实验室
[2] 中国科学院研究生院
[3] Institute for the Protection and Security of the Citizen (IPSC), European Commission Joint Research
关键词
地震灾害; 航空遥感影像; 倒塌房屋; 反射光谱相似性; 自动识别方法;
D O I
暂无
中图分类号
TP753 [图像解释、判读];
学科分类号
摘要
地震灾害倒塌房屋的识别是地震灾害损失评价的重要环节,也是判断地震强度的指标之一.5.12汶川大地震发生后,中欧地震灾害评估项目组使用自动识别技术处理0.5m分辨率的ADS40航空遥感数据,需要克服航空遥感数据中未倒塌混凝土桥梁、滑坡体滚石与倒塌房屋反射光谱的相似性.经过多次实验改进后的技术,一次性识别的倒塌房屋面积覆盖率优于95%.介绍了这次实验过程和结果,实验表明,该方法也可以用于其他灾害造成的倒塌房屋的自动识别.
引用
收藏
页码:2581 / 2585
页数:5
相关论文
共 5 条
[1]   Building-based damage detection due to earthquake using the watershed segmentation of the post-event aerial images [J].
Turker, Mustafa ;
Sumer, Emre .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2008, 29 (11) :3073-3089
[2]  
Satellite radar and optical remote sensing for earthquake damage detection: results from different case studies[J] . S. Stramondo,C. Bignami,M. Chini,N. Pierdicca,A. Tertulliani.International Journal of Remote Sensing . 2006 (20)
[3]  
Post‐earthquake building collapse: a comparison of government statistics and estimates derived from SPOT HRVIR data[J] . ?. Kaya,P. J. Curran,G. Llewellyn.International Journal of Remote Sensing . 2005 (13)
[4]  
Detection of collapsed buildings caused by the 1999 Izmit, Turkey earthquake through digital analysis of post-event aerial photographs[J] . M. Turker,B. T. San.International Journal of Remote Sensing . 2004 (21)
[5]  
SPOT HRV data analysis for detecting earthquake-induced changes in Izmit, Turkey[J] . M. Turker,B. T. San.International Journal of Remote Sensing . 2003 (12)