Abstract：The geographic information system (GIS) database of old urban areas often lack the information of building age, which makes it difficult for seismic damage prediction. In order to obtain the building age in short time, the old urban area (about 2.5 km2) of Jiaxing city in Zhejiang province was investigated. High-resolution remote sensing image was utilized to obtain the regions consisting of similar houses through visual interpretation. The region point density was defined to estimate the building age. Based on the statistical relationship between building age and point density, a method was proposed to estimate the approximate age of buildings by point density. The seismic damage index was calculated to assess the seismic damage with the considerations of attributes including structure, floor, fortification and age, and the result of seismic damage prediction was illustrated three-dimensionally. The results show that there is inversely linear correlation between region point density and building age with R2 of 0.793 2, and the building age can be rapidly estimated by calculating the point density of region.
朱志忠1， 陆吉赟2， 李敏2， 赵宇1. 基于遥感影像和点密度的房屋年代分析及震害预测[J]. 江苏大学学报（自然科学版）, 2020, 41(4): 382-386.
ZHU Zhizhong1, LU Jiyun2， LI Min2， ZHAO Yu1. Building age estimation and seismic damage prediction based on remote sensing image and point density[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2020, 41(4): 382-386.
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2020, Vol. 41 
