马瑞峰;张力;杜全叶;李旋;刘燕;

• 1:兰州交通大学测绘与地理信息学院
• 2:中国测绘科学研究院
• 3:甘肃省地理国情监测工程实验室
• 4:江苏省地质调查研究院

摘要(Abstract)：

针对已有密集影像匹配(DIM)点云滤波算法通用性差,滤波效果受限于参数设置,且均未利用生成点云的影像信息等问题,该文提出一种融合多源数据的DIM点云滤波算法。首先融合影像和DIM点云高程多源信息;再引入新型分类器对融合影像进行分类,其分类结果作为知识引导用于点云滤波中,即将分类专题图与DIM点云叠加以过滤非地面点,实现点云滤波并生成数字高程模型;最后选用航空影像进行密集匹配和滤波实验。实验结果表明,利用该点云滤波算法生成的DEM与参考DEM呈现高度相关性,可大大减少生产DEM人工后处理的工作量。

关键词(KeyWords)： 航空影像;DIM点云;影像分类;点云滤波;DEM

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2017YFB0503000);; DAAD战略合作伙伴与专题研究合作网络项目(57421148);; 中国测绘科学研究院基本科研业务项目(7771801)

作者(Authors): 马瑞峰;张力;杜全叶;李旋;刘燕;

DOI: 10.16251/j.cnki.1009-2307.2020.01.019

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