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出 处:《地震研究》2016年第2期316-320,176,共5页Journal of Seismological Research
基 金:国家自然科学基金--冬小麦旱灾致灾因子危险性高光谱遥感定量诊断研究(41401605)资助
摘 要:针对传统的农房总量统计不满足灾害范围空间随机分布、自动分类识别算法业务性不强等引起的精度受限和效率低下的问题,以新疆于田地震为例,结合于田县绿洲区农房大多沿路分布、密度大等特点,采用线密度方法,分地震烈度区开展农房总量评估。结果表明,线密度方法在同一区域下用时为点标绘法的1/5,精度是点标绘法的94%,能够满足减灾业务的需求。Aiming at the problem of the limited efficiency and lowaccuracy which is induced by the traditional rural buildings statistics are not satisfied the spatial random distribution of disaster range and the requirement of automatic classification and identification algorithm not strong etc.,we took the Yutian MS7. 3 earthquake in Xinjiang as the example and estimated the amount of rural buildings in different seismic intensity by using linear density methods,combined with the characteristic that the distribution of rural buildings is along the road and have the big density in Luzhou area. The results indicated that the cost time and accuracy of liner density method is one fifth and94% than that of point plotting method,which indicate that the accuracy of linear density method can satisfy the operations requirement of disaster reduction.
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