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作 者:孙焱[1] SUN Yan(Jilin Engineering Normal University,Changchun 130000,China)
出 处:《激光杂志》2024年第2期229-233,共5页Laser Journal
基 金:吉林省自然科学基金项目(No.YDZJ202201ZYTS354)。
摘 要:研究一种基于激光扫描的电子档案异构时态数据检测方法,该方法利用激光扫描获取数据并生成电子档案。针对电子档案中的数据实施缺失数据填补和离群数据处理。提取电子档案数据的递归率、仙农熵以及歪度三个特征。结合随机森林算法,输入递归率、仙农熵以及歪度三个特征,得出电子档案异构时态数据类型。结果表明:1处和3处边坡工程的位移处于轻微状态;2处边坡工程的位移处于严重状态;4处边坡工程的位移处于安全状态;5处边坡工程的位移处于较严重状态。所研究方法的Kappa系数达到相对最大值,说明所研究方法的检测能力更高。There are many heterogeneous temporal data in the electronic archives generated by laser scanning.These data have great mining value,so it is necessary to detect them.Under this background,a method of detecting heterogeneous temporal data of electronic archives based on laser scanning is studied.This method uses laser scanning to obtain data and generate electronic archives.For the data in electronic archives,missing data filling and outlier data processing are implemented.The recursion rate,Shannon entropy and skewness of electronic archive data are extracted.Combined with the random forest algorithm,the input recursion rate,Shannon entropy and skewness are three characteristics to obtain the heterogeneous temporal data type of electronic archives.The results show that the displacement of 1 and 3 slope projects is slight;the displacement of two slope works is serious;the displacement of 4 slope works is in a safe state;the displacement of 5 slope works is relatively serious.The Kappa coefficient of the studied method reaches a relative maximum,indicating that the detection ability of the studied method is higher.
关 键 词:激光扫描 电子档案 异构时态数据 特征提取 检测方法
分 类 号:TN21.66[电子电信—物理电子学]
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