成斌,管海燕,季秋菊,朱浩朋,库巴尼其别克·呼杰克

• 1:南京信息工程大学地理与遥感学院
• 2:南京信息工程大学计算机与软件学院

摘要(Abstract)：

针对传统道路裂缝检测工作中存在的问题,该文提出了一种利用车载LiDAR数据的道路裂缝信息自动提取方法。车载LiDAR系统能够在正常车速条件下直接获取道路及其两侧各种地物的高精度、高密度表面三维数据。为了提高数据处理效率,将三维LiDAR数据转换成二维强度特征影像数据。张量投票算法根据平滑度、邻近度及连续性约束原则,通过结构特征的张量表示和非线性投票能够从稀疏的、噪声的数据中推断显著性结构。通过实验分析,该方法不仅适用于激光点云生成的强度特征影像数据的裂缝提取,还适用于光学影像数据的裂缝提取,且提取精度在90%左右。

关键词(KeyWords)： 裂缝提取;车载LiDAR数据;强度特征图像;张量投票

Abstract:

Keywords:

基金项目(Foundation): 2015年度大学生实践创新训练项目(201510300028);; 国家自然科学基金青年基金项目(41501501)

作者(Author): 成斌,管海燕,季秋菊,朱浩朋,库巴尼其别克·呼杰克

DOI: 10.16251/j.cnki.1009-2307.2018.08.021

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