Abstract
Terrestrial laser scanning (TLS) is an important technique to obtain the side view data under the forest canopy and the registration of TLS data captured from different positions is an important step to obtain a complete forest dataset. As commonly used TLS data registration methods are not suitable for the forest scene, this paper presents a registration method of forest TLS data based on orienting and positioning data of smartphone. The coarse transformation parameters between two scans are calculated based on the initial scanner direction and position of each scan, and then used as the input of the Iterative Closest Point (ICP) algorithm for stem position points to get the fine transformation parameters. The experimental results show that this method can achieve accurate alignment of the stem points captured from different sides in case of no artificial targets and poor intervisibility between different scans.
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References
Côté, J.F., Fournier, R.A., Egli, R.: An architectural model of trees to estimate forest structural attributes using terrestrial LiDAR. Environ. Model Softw. 26(6), 761–777 (2011)
La, H.P., Eo, Y.D., Chang, A., et al.: Extraction of individual tree crown using hyperspectral image and LiDAR data. KSCE J. Civ. Eng. 19(4), 1078–1087 (2015)
Liu, F., Tan, C., Zhang, G., et al.: Estimation of forest parameter and biomass for individual pine trees using airborne LiDAR. Trans. Chin. Soc. Agric. Mach. 44(9), 219–242 (2013)
Chen, M., Wan, Y., Wang, M., et al.: Automatic stem detection in terrestrial laser scanning data with distance-adaptive search radius. IEEE Trans. Geosci. Remote Sens. 56(5), 2968–2979 (2018)
Pirotti, F., Guarnieri, A., Vettore, A.: Ground filtering and vegetation mapping using multi-return terrestrial laser scanning. ISPRS J. Photogram. Remote Sens. 76(2), 56–63 (2013)
Calders, K., Newnham, G., Burt, A., et al.: Nondestructive estimates of above-ground biomass using terrestrial laser scanning. Methods Ecol. Evol. 6(2), 198–208 (2015)
Olofsson, K., Holmgren, J., Olsson, H.: Tree stem and height measurements using terrestrial laser scanning and the RANSAC algorithm. Remote Sens. 6(5), 4323–4344 (2014)
Besl, P.J., Mckay, N.D.: A Method for registration of 3-D shapes. In: Robotics - DL Tentative, pp. 239–256. International Society for Optics and Photonics (1992)
Chen, Y., Medioni, G.: Object modelling by registration of multiple range images. Image Vis. Comput. 10(3), 145–155 (1992)
Li, J., Wang, Z.M., Ma, Y.R.: Automatic and accurate mosaicking of point clouds from multi-station laser scanning. Geomat. Inf. Sci. Wuhan Univ. 39(9), 1114–1120 (2014). (in Chinese)
Rusu, R.B., Blodow, N., Marton, Z.C., et al.: Aligning point cloud views using persistent feature histograms. In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3384–3391. IEEE (2008)
Yang, B., Dong, Z., Liang, F., et al.: Automatic registration of large-scale urban scene point clouds based on semantic feature points. ISPRS J. Photogram. Remote Sens. 113, 43–58 (2016)
Zhang, W., Chen, Y., Wang, H., et al.: Efficient registration of terrestrial LiDAR scans using a coarse-to-fine strategy for forestry applications. Agric. For. Meteorol. 225, 8–23 (2016)
Kelbe, D., van Aardt, J., Romanczyk, P., et al.: Marker-free registration of forest terrestrial laser scanner data pairs with embedded confidence metrics. IEEE Trans. Geosci. Remote Sens. 54(7), 4314–4330 (2016)
Henning, J.G., Radtke, P.J.: Multiview range-image registration for forested scenes using explicitly-matched tie points estimated from natural surfaces. ISPRS J. Photogram. Remote Sens. 63(1), 68–83 (2008)
Liang, X., Hyyppä, J.: Automatic stem mapping by merging several terrestrial laser scans at the feature and decision levels. Sensors 13(2), 1614–1634 (2013)
Brenner, C., Dold, C., Ripperda, N.: Coarse orientation of terrestrial laser scans in urban environments. ISPRS J. Photogram. Remote Sens. 63(1), 4–18 (2008)
Acknowledgements
This work was supported in part by National Natural Science Foundation of China under grant no. 41801394, in part by Chongqing Natural Science Foundation under grant no. cstc2019jcyj-msxmX0370 and cstc2018jcyjAX0515 and in part by the Science and Technology Research Program of Chongqing Municipal Education Commission under grant no. KJQN201900729 and KJQN201900728.
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Chen, M., Tang, F., Pan, J. (2020). Registration of Multi-scan Forest Terrestrial Laser Scanning Data Integrated with Smartphone. In: Di Martino, S., Fang, Z., Li, KJ. (eds) Web and Wireless Geographical Information Systems. W2GIS 2020. Lecture Notes in Computer Science(), vol 12473. Springer, Cham. https://doi.org/10.1007/978-3-030-60952-8_8
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DOI: https://doi.org/10.1007/978-3-030-60952-8_8
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