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为提高房屋震害预测效率,将数字化技术应用于房屋震害预测分类工作中。利用航空摄影测量、遥感及地理信息系统技术,提出两种房屋震害预测分类数字化辅助方法。若预测区域有符合条件的遥感影像对,利用航空摄影测量技术可获得DSM及DEM模型,进一步从层数上对建筑物进行分类。另一种方法则是利用遥感技术提取有关建筑物阴影信息,由阴影计算建筑物层数,进而对建筑物进行分类。利用地理信息系统自动统计不同类建筑物总面积,画出不同类建筑的地理分布图。与传统方法相比,这种方法效率高,可以纵览全局,减少房屋震害预测现场调查工作量,提高震害预测工作效率。
In order to improve the prediction efficiency of building earthquake damage, digital technology is applied to the classification and prediction of house earthquake damage. Using aerial photogrammetry, remote sensing and geographic information system technology, two kinds of digital assisting methods for predicting earthquake damage classification are proposed. If there are qualified pairs of remote sensing images in the prediction area, DSM and DEM models can be obtained by using aerial photogrammetry techniques to further classify the buildings from the stratum. Another approach is to use remote sensing technology to extract information about building shadows, calculate the number of buildings by shading, and then classify the buildings. The use of geographic information system automatically statistics the total area of different types of buildings, draw different types of buildings in the geographical map. Compared with the traditional method, this method is efficient and can overview the overall situation, reduce the workload of on-site investigation of earthquake damage prediction and improve the efficiency of earthquake damage prediction.