城市房屋震害的区域分析法——与点特征判据算法的对比研究被引量：5

Imagery region analyzing method of urban building′s earthquake damage:a comparative study with point characteristics-based criterion approaches

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摘要根据高分辨率遥感影像震害房屋的基本特征,提出在该影像条件下,震害房屋信息的自动获取技术应发展以区域分析为基础的识别算法,并给出了适于震害房屋信息获取的区域分析算法的基本概念、框架及实现过程。在此基础上,介绍了一种典型的区域分析框架下的震害房屋自动识别算法,并与点特征判据算法进行了对比。结果表明,基于图像区域分析算法的识别具有很高的精度和易于实现的客观条件。最后指出,在高分辨率卫星遥感影像将成为今后震害信息获取主要数据源的情况下,开发区域分析框架下的震害房屋信息识别算法是未来的发展方向。 This paper first analyzes the basic characteristics of seismic building damage in high resolution image,then points out that the seismic building damage information-automatically acquiring approaches with high resolution image should develop the identificalion algorithm based on region analysis,and presents the basic concepts,mode and primary processing of the algorithm. Besides these,a typical approach based on region analysis is presented,and is compared with the point characteristics based criterion appoaches. The results show that the approaches based on region analysis possess better precision and implementing conditions. Then a conclusion can be drawn that as high resolution image has become the main data source,the automatic identification approaches based on region analysis will be developed to adapt the requirement of change in data source.

作者柳稼航杨建峰秦绪文

机构地区中国科学院西安光学精密机械研究所中国地质大学

出处《自然灾害学报》 CSCD 北大核心 2004年第5期149-156,共8页 Journal of Natural Disasters

关键词区域分析地震灾害图像处理震害识别算法 regional analysis earthquake disaster image processing earthquake damage identification algorithm

分类号 P315.9 [天文地球—地震学]

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