Detection of individual tree crowns in airborne lidar data
Detection of individual tree crowns in airborne lidar data
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DOI：
10.14358/pers.72.4.357
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发表时间：
2006-04-01
影响因子：
1.3
通讯作者：
Weinacker, H
中科院分区：
文献类型：
--
作者：
Koch, B;Heyder, U;Weinacker, H
失败者扫描提供了一种收集森林林分信息的好方法。提出了一种利用小足迹光探测和测距数据自动圈定落叶混交林中单木的方法。在光栅化的激光数据中，使用局部最大值过滤器来检测可能的树顶。然后，通过浇注算法、基于知识的树木形状假设以及通过从树木顶部开始搜索向量来最终检测树冠边缘，来描绘树冠。分割结果通过与地面测量的树冠投影和通过图像刻画的树木进行比较来评估。该分割算法对针叶林的分割效果较好。然而，实施的方法倾向于合并落叶乔木密林中的树冠。
Loser scanning provides a good means to collect information on forest stands. This paper presents an approach to delineate single trees automatically in small footprint light detection and ranging (lidar) data in deciduous and mixed temperate forests. In rasterized laser data possible tree tops are detected with a local maximum filter. Afterwards the crowns are delineated with a combination of a pouring algorithm, knowledge-based assumptions on the shape of trees, and a final detection of the crown-edges by searching vectors starting from the trees' tops. The segmentation results are assessed by comparison with terrestrial measured crown projections and with phatogram-metrically delineated trees. The segmentation algorithm works well for coniferous stands. However, the implemented method tends to merge crowns in dense stands of deciduous trees.