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针对当前建筑物分类技术存在的难题,以提高建筑物分类的正确率为目标,提出一种融合激光扫描强度信息和遥感信息的建筑物分类方法。首先分析了当前建筑物分类技术的研究现状,并利用激光扫描强度信息进行建筑物分类第一次类,最后根据遥感图像信息获取采用支持向量机对建筑物进行第二次分类,并采用具体建筑物分类应用实例进行测试和分析。结果表明,本文方法的建筑物分类正确率高达96%以上,可以准确描述建筑物的类别信息,分类结果要明显优于当前经典建筑物分类方法,具有广泛的应用前景。
In order to solve the problems existing in building classification technology and to improve the accuracy of building classification, a building classification method based on laser scanning intensity information and remote sensing information is proposed. Firstly, the current research status of building classification technology is analyzed, and the first category of building classification is made by using laser scanning intensity information. Finally, the second classification of buildings is carried out by using support vector machines based on remote sensing image information, Material classification application examples for testing and analysis. The results show that the proposed method can accurately classify buildings by 96% or more. The classification results are obviously superior to the current classification methods of classical buildings and have a wide range of application prospects.