A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements
A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements
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DOI：
10.1016/j.isprsjprs.2010.08.002
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发表时间：
2010-11-01
影响因子：
12.7
通讯作者：
Lin, Yi
中科院分区：
文献类型：
--
作者：
Jaakkola, Anttoni;Hyyppa, Juha;Lin, Yi
本文提出了一种新的低成本的小型无人机为基础的激光扫描系统，它也能够执行基于汽车的移动的测绘。该系统的质量和树木测量的可行性进行了测试，使用该系统的激光扫描仪。该系统是一个模块化测量系统，由若干测量仪器组成：一个全球定位系统/惯性测量单元定位系统、两个激光扫描仪、一个CCD摄像机、一个光谱仪和一个热成像仪。Ibeo Lux和Sick LMS 151轮廓激光器集成到系统中，以提供密集的点云;反射回波的强度也可以通过Sick LMS获得。在我们的测试中，当使用汽车作为平台时，开发的杆型对象提取算法的完整性和正确性分别达到90%和86%。杆型物体的高度是以-1.6厘米的偏差和5.4厘米的标准差获得的。以微型无人机为平台，测得的单株树高标准差约为30 cm。此外，利用无人机数据测试了数字高程模型提取，得到约3.1 cm的高度偏移和9.2 cm的标准差。利用多时相点云，我们演示了一种推导针叶树生物量变化的方法，R-2值为0.92。所提出的系统不仅能够记录点云数据，给出物体的几何形状，而且还能够同时收集图像数据，包括重叠图像和激光后向散射强度，以及高光谱和热数据。因此，我们相信，该系统是可行的新算法和概念的发展和基础研究，特别是当数据记录多时。(C)2010年国际摄影测量与遥感学会（摄影测量和遥感学会）。Elsevier B. V.出版，保留所有权利。
This paper presents a novel low-cost mini-UAV-based laser scanning system, which is also capable of performing car-based mobile mapping. The quality of the system and its feasibility for tree measurements was tested using the system's laser scanner. The system was constructed as a modular measurement system consisting of a number of measurement instruments: a GPS/IMU positioning system, two laser scanners, a CCD camera, a spectrometer and a thermal camera. An Ibeo Lux and a Sick LMS151 profile laser were integrated into the system to provide dense point clouds; intensities of the reflected echoes can also be obtained with the Sick LMS. In our tests, when using a car as a platform, the pole-type object extraction algorithm which was developed resulted in 90% completeness and 86% correctness. The heights of pole-type objects were obtained with a bias of -1.6 cm and standard deviation of 5.4 cm. Using a mini-UAV as the platform, the standard deviation of individual tree heights was about 30 cm. Also, a digital elevation model extraction was tested with the UAV data, resulting in a height offset of about 3.1 cm and a standard deviation of 9.2 cm. With a multitemporal point cloud, we demonstrated a method to derive the biomass change of a coniferous tree with an R-2 value of 0.92. The proposed system is capable of not only recording point cloud data giving the geometry of the objects, but also simultaneously collecting image data, including overlapping images and the intensity of laser backscatter, as well as hyperspectral and thermal data. Therefore we believe that the system is feasible for new algorithm and concept development and for basic research, especially when data is recorded multitemporally. (C) 2010 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.