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首页> 外文期刊>International journal of remote sensing >Comparison of UAV photograph-based and airborne lidar-based point clouds over forest from a forestry application perspective
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Comparison of UAV photograph-based and airborne lidar-based point clouds over forest from a forestry application perspective

机译:从林业应用角度比较基于无人机的照片和基于机载激光雷达的点云

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摘要

In this study, unmanned aerial vehicle (UAV) image (photograph)based point clouds and products were compared to airborne lidar-based data and products over a forested area. The test site is located in Germany, 15 km southeast of Jena. A total area of approximately 175 ha was covered during a UAV flight campaign. For this study, a subset of 4 ha (200 m x 200 m) was defined. The UAV-lidar comparison was accomplished at three different data levels: (1) point-like level (raster of maxima), (2) surface level (canopy height models), and (3) tree level (detection rate). In general, a high match between lidar- and UAV-based data/products was observed. The UAV data exhibits more details which are of particular importance for the detection of small trees. While using lidar data, 45 out of 205 trees were not detected, however only 14 trees were missed out when UAV data was used.
机译:在这项研究中,将基于无人飞行器(UAV)图像(照片)的点云和产品与在森林区域内基于机载激光雷达的数据和产品进行了比较。测试地点位于耶拿东南15公里处的德国。无人机飞行战役覆盖了约175公顷的总面积。对于本研究,定义了4公顷(200 m x 200 m)的子集。 UAV-lidar比较是在三个不同的数据级别上完成的:(1)点状级别(最大栅格),(2)表面级别(机盖高度模型)和(3)树级别(检测率)。通常,观察到基于激光雷达和基于无人机的数据/产品之间的高度匹配。 UAV数据显示更多细节,这对于检测小树特别重要。使用激光雷达数据时,未检测到205棵树中的45棵,但是使用UAV数据时仅漏掉了14棵树。

著录项

  • 来源
    《International journal of remote sensing》 |2017年第10期|2411-2426|共16页
  • 作者单位

    Friedrich Schiller Univ, Dept Earth Observat, Loebdergraben 32, D-07743 Jena, Germany;

    Friedrich Schiller Univ, Dept Earth Observat, Loebdergraben 32, D-07743 Jena, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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