不确定性理论在激光雷达数据地物分类方面的应用研究进展

Research Progress on Uncertain Theory for Feature Classification with LIDAR Data

激光扫描与测距(LIDAR)数据地物分类是近年来测绘及相关领域内的研究热点。由于数据获取、传输以及激光本身特性的影响,使得LIDAR数据与地物信息的对应关系存在不确定性,而不确定性理论在处理数据不确定方面扮演着十分重要的角色。综合论述了近年来常用的LIDAR数据地物分类的特征及其特性、地物分类的应用领域以及国内外利用不确定性理论进行LIDAR数据地物分类的方法,并分析其优缺点,最后给出了总结与展望。

Feature classification of light detection and ranging（LIDAR） data is a research focus in the field ofsurveying and mapping in recent years. The corresponding relationship between LIDAR data and feature informa-tion is uncertain for the influence of data acquisition, transmission and laser characteristics. The uncertain theoryplays a very important role in dealing with uncertain data. The features, characteristics, application fields of com-mon used LIDAR data feature classification in recent years and the method of LIDAR data feature classification us-ing uncertain theory in China and foreign countries are summarized. The advantages and disadvantages of the meth-od are analyzed. Finally, the summary and prospect are presented.