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首页> 外文期刊>Scandinavian Journal of Forest Research >Characterization of mobile LiDAR data collected with multiple echoes per pulse from crowns during foliation.
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Characterization of mobile LiDAR data collected with multiple echoes per pulse from crowns during foliation.

机译：叶片移动过程中每个冠部多次脉冲回波采集的移动LiDAR数据的特征。

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As a state-of-the-art technology for fine-scale forest investigation, mobile terrestrial light detection and ranging (LiDAR), also referred to as mobile laser scanning (MLS), recently has been increasingly exploited to improve its performance on this task. One potential solution is to apply special MLS systems with the capability of collecting multiple echoes per pulse (multi-echoes, for short) from canopies. The methodologies of this rationale turned out to perform better but still insufficiently for canopy properties retrieval, owing to their common defective premise. That is, the knowledge of the characteristics of MLS scan data comprising multi-echoes, so far, is in shortage, especially when regarding the dynamic process of tree foliation. As a pioneering work for this challenge, this study attempted to comprehensively analyze the characteristics of MLS multi-echoes collected from tree crowns during foliation. Specifically, new stable multi-echoes-related features were deduced under the schematic frame of relative quantification, in both spatial and temporal sense. "Relative" here briefly means the division operation deployed on the attributes of multi-echoes, individually in terms of the number of echoes, echo width and crown volume integrity, between their different return orders. Then, the "relative" schematic was primarily validated for more stably representing crown properties during foliation, based on the real data that was collected by the Sensei MLS system with a maximum of three echoes per pulse. Further, a case of tree species classification was examined using a linear discriminant classifier, and it was testified that the resultant temporal statistical rules of multi-echoes as the reverse clues can enhance the performance of MLS in applications.Digital Object Identifier http://dx.doi.org/10.1080/02827581.2011.635154
机译：作为用于大规模森林调查的最新技术，近来越来越多地利用移动陆地光检测和测距（LiDAR）（也称为移动激光扫描（MLS））来改善其性能。 。一种潜在的解决方案是应用特殊的MLS系统，该系统具有每个脉冲从冠层收集多个回波（简称多回波）的能力。由于其普遍存在的缺陷前提，该原理的方法论证明对冠层特性的检索性能较好，但仍然不足。即，到目前为止，包括多回波的MLS扫描数据的特性的知识尚不足，特别是在涉及树的动态变化过程时。作为应对这一挑战的开创性工作，本研究试图全面分析从树冠收集到的MLS多回波的特征。具体而言，在相对定量的示意图框架下，从空间和时间的角度推论出新的稳定的与多回波相关的特征。 “相对”在此简要表示在多回波的属性上进行的分割操作，分别根据回波的数量，回波宽度和冠状体积完整性（在不同的回波顺序之间）进行。然后，基于Sensei MLS系统收集的真实数据（每个脉冲最多三个回波），主要对“相对”示意图进行了验证，以更稳定地表示出叶冠的性质。此外，使用线性判别式分类器检查了树种分类的情况，并证明了由此产生的作为回声线索的多回波的时间统计规则可以增强应用中MLS的性能。 dx.doi.org/10.1080/02827581.2011.635154

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