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高光谱遥感技术在建 (构) 筑物震害识别中的应用
引用本文:李强,张景发.高光谱遥感技术在建 (构) 筑物震害识别中的应用[J].震灾防御技术,2017,12(1):96-106.
作者姓名:李强  张景发
作者单位:1.中国地震局工程力学研究所 (中国地震局工程与工程振动重点实验室), 哈尔滨 150080
基金项目:国家自然科学基金项目(41374050)和国家高技术研究发展计划(863 计划)(2012AA121304)
摘    要:高光谱遥感作为20世纪空间对地观测技术重大进步的产物,通过其较高的光谱分辨率,为人们提供了丰富的地球表面信息,在各个研究领域得到了快速发展和广泛应用,并取得了卓越的成果。尽管高光谱遥感具有独特的优势,但是针对其在震害评估领域中应用的相关研究较少。本文在总结高光谱遥感的特征、优势及不同领域应用现状的基础上,开展了其在震害评估领域的应用研究。基于ASD地物波谱仪获取的建(构)筑物光谱曲线构建可用于震害分析所需的光谱特征库,对比光谱库中地物曲线之间的差异后,发现高光谱遥感在震害评估领域中的应用是可行的,因不同震害地物之间的光谱特征曲线存在差异,依据这种差异可区分不同的震害信息,从而对震害遥感图像进行精细分类。

关 键 词:高光谱遥感    光谱特征    地物光谱库    震害评估
收稿时间:2016/3/17 0:00:00

Preliminary Application of Hyperspectral Remote Sensing Technology in Earthquake Damage Assessment
Li Qiang and Zhang Jingfa.Preliminary Application of Hyperspectral Remote Sensing Technology in Earthquake Damage Assessment[J].Technology for Earthquake Disaster Prevention,2017,12(1):96-106.
Authors:Li Qiang and Zhang Jingfa
Institution:1.Institute of Engineering Mechanics, CEA (Key Laboratory of Earthquake Engineering and Engineering Vibration, CEA), Harbin 150080, China2.Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics, CEA, Beijing 100085, China
Abstract:As the development and major progress of the space to earth observation technology in the twentieth century, hyper spectral remote sensing has been extensively applied in various fields of research with its high spectral resolution, which provides rich information of earth surface. Although hyper spectral remote sensing is of unique superiority, no much effort has been put on seismic damage. assessment so far. Based on the summary of the characteristic advantages and application situation, earthguake damage assessment is carried out by using hyper spectral remote sensing. A typical damaged feature spectral library is constructed through collecting the spectral characteristic curves of different structures. The difference between the different spectral curves was identified, and the relationship between spectral curve and seismic damage information was explored. Our results suggest that it is feasible to apply hyper spectral remote sensing in earthquake disaster assessment. Different damage features have different spectral characteristic curves. And then, earthguake damage information can be well classified based on the spectral differences.
Keywords:Hyper spectral remote sensing  Spectral feature  Spectral library  Earthquake damage assessment
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