周汝琴,许志海,彭炽刚,张峰,江万寿

• 1:武汉大学测绘遥感信息工程国家重点实验室
• 2:广东电网有限责任公司机巡作业中心

摘要(Abstract)：

针对输电线路现有点云分类方法存在的分类效率较低及精度不高等问题,该文从高压输电走廊的地物分布特点出发,提出一种基于JointBoost的高压输电走廊点云分类方法。该方法将三维点云转换为二维影像并基于Hough变换在影像上检测输电走廊候选区域;对候选区域每个点定义并计算多尺度局部特征向量,包括高程特征、连通特征、张量特征和平面特征;根据多尺度局部特征用JointBoost分类器将待分类点云分为地面、植被、电力线和电力塔4类。实验数据表明,该方法能有效地减少高压输电走廊的点云处理数量,提高分类效率,且选取的多尺度特征能有效地表达输电走廊内地物的分布特点,具有较高的分类精度。

关键词(KeyWords)： 机载激光点云;高压输电走廊;JointBoost分类器;电力线;电力塔

Abstract:

Keywords:

基金项目(Foundation): 南方电网重点科技项目(GDKJQQ20161187)

作者(Author): 周汝琴,许志海,彭炽刚,张峰,江万寿

DOI: 10.16251/j.cnki.1009-2307.2019.03.004

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