面向对象的灾害信息遥感提取框架及其应用被引量：10

Research and application of object-oriented remote sensing framework for disaster information extraction

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摘要我国自然灾害频发,遥感技术可快速、大范围地获取地表的重大自然灾害信息,具有巨大的应用价值。但目前高分辨率遥感影像处理面临一定的困难,尚无十分有效且快速的分类与目标提取算法,面向对象影像处理技术是该领域的研究热点。通过详细分析面向对象影像处理方法与高分辨率影像的特点,构建了面向对象遥感影像技术的灾害信息提取框架,并将该提取框架应用于地震灾害的损毁分析,为相关灾害应用研究提供参考。 Chinese high frequency of natural disasters has attracted the attention of more and more people. Remote sensing technology can acquire the real-time land surface information rapidly and the observation can be carried out within the framework of large-scale, which will play an important role in the monitoring and evaluation process of major natural disasters. However, the high-resolution remote sensing image processing is facing certain difficulties： there is no very effective, rapid classification and feature extraction algorithm. Object-oriented image processing technology is a research hotspot in this field. In this paper, an object-oriented remote sensing image framework for disaster information extraction are formed by studying object-oriented image processing algorithm and the characteristics of high-resolution images. The framework is used for the assessment of earthquake damage as an example which may provide references to the application of disaster-related research.

作者易文斌唐宏杨晋科

机构地区北京师范大学地表过程与资源生态国家重点实验室北京师范大学资源学院北京师范大学民政部/教育部减灾与应急管理研究院首都师范大学资源环境与地理信息系统北京市重点实验室

出处《自然灾害学报》 CSCD 北大核心 2009年第5期157-162,共6页 Journal of Natural Disasters

基金国家高技术研究发展计划(2008AA121305 2007AA120306 2007AA120205) 国家科技合作计划(2007DFA20640)联合资助

关键词面向对象高分辨率影像灾害信息遥感提取地震灾害评估 object-oriented high-resolution image disaster information remote sensing extraction earthquake damage assessment

分类号 TP79 [自动化与计算机技术—检测技术与自动化装置]

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参考文献16

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