Citation: | LI Jiyang, CHEN Maolin, JI Cuicui, PAN Jianping. Registering forest laser scanning point cloud with smartphone[J]. LASER TECHNOLOGY, 2025, 49(2): 216-222. DOI: 10.7510/jgjs.issn.1001-3806.2025.02.009 |
Accurate 3-D understory information obtained by terrestrial laser scanning usually requires the registration of multi-station scanning point cloud data. In order to reduce the need for additional equipment or functions when collecting forest laser scanning data, a forest laser scanning data registration method using smartphone positioning and orientation data was proposed. Firstly, initial transformation parameters were calculated based on the positioning and orientation from the smartphone. Then search space was generated from the initial transformation parameters, and different parameters were further evaluated by the proposed two-level objective functions using stem positions to obtain final registration result. During the evaluation process, stem positions were filtered by the distance between two scanner positions. The results of the registration test conducted on six pairs of measuring stations showe that the average rotation angle error 4.3′, horizontal and vertical translation errors obtained are 8.3 mm and 35 mm, respectively. The proposed method can improve the registration accuracy and efficiency and has high stability, and smartphone can provide effective auxiliary information for registration with canopy height (less than 11.5 m).
[1] |
张昕怡, 陈茂霖, 刘祥江, 等. 顾及点密度与未知角分辨率的地面点云分类[J]. 激光技术, 2023, 47(1): 59-66.
ZHANG X Y, CHEN M L, LIU X J, et al. Classification of terrestrial point cloud considering point density and unknown angular resolution[J]. Laser Technonogy, 2023, 47(1): 59-66(in Chinese).
|
[2] |
LIANG X, LITKEY P, HYYPPA J, et al. Automatic stem mapping using single-scan terrestrial laser scanning[J]. IEEE Transactions on Geoence & Remote Sensing, 2012, 50(2): 661-670. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5991946
|
[3] |
刘祥江, 陈茂霖, 张昕怡, 等. 结合单点分类与改进均值漂移聚类的地面激光点云单木检测[J]. 测绘地理信息, 2024, 49(3): 53-58.
LIU X J, CHEN M L, ZHANG X Y, et al. Single stem extraction from ground laser point cloud based on point classification and improved mean shift clustering[J]. Journal of Geomatics, 2024, 49(3): 53-58(in Chinese).
|
[4] |
路璐, 郑光, 马利霞. 激光雷达和点云切片算法结合的森林有效叶面积指数估算[J]. 遥感学报, 2018, 22(3): 432-449.
LU L, ZHENG G, MA L X. Combining point cloud slicing and terrestrial laser scanning data to retrieve an effective leaf area index[J]. Journal of Remote Sensing, 2018, 22(3): 432-449(in Chinese).
|
[5] |
卢晓艺, 云挺, 薛联凤, 等. 基于树木激光点云的有效特征抽取与识别方法[J]. 中国激光, 2019, 46(5): 0510002.
LU X Y, YUN T, XUE L F, et al. Effective feature extraction and identification method based on tree laser point cloud[J]. Chinese Journal of Lasers, 2019, 46(5): 0510002(in Chinese).
|
[6] |
YANG X, STRAHLER A H, SCHAAF C B, et al. Three-dimensional forest reconstruction and structural parameter retrievals using a terrestrial full-waveform lidar instrument (Echidna)[J]. Remote Sensing of Environment, 2013, 135: 36-51. DOI: 10.1016/j.rse.2013.03.020
|
[7] |
CALDERS K, BURT A, ORIGO N, et al. Large-area virtual forests from terrestrial laser scanning data[C]//2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). New York, USA: IEEE Press, 2016: 1765-1767.
|
[8] |
LIANG X, HYYPPA J. Automatic stem maping by merging several terrestrial laser scans at the feature and decision levels[J]. Sensors, 2013, 13(2): 1614-1634. DOI: 10.3390/s130201614
|
[9] |
LIU J B, LIANG X L, HYYPPA J, et al. Automated matching of multiple terrestrial laser scans for stem mapping without the use of artificial references[J]. International Journal of Applied Earth Observation and Geoinformation, 2017, 56: 13-23. DOI: 10.1016/j.jag.2016.11.003
|
[10] |
KELBE D, AARDT J V, ROMANCZYK P, et al. Marker-free registration of forest terrestrial laser scanner data pairs with embedded confidence metrics[J]. IEEE Transactions on Geoence & Remote Sensing, 2016, 54(7): 4314-4330. http://smartsearch.nstl.gov.cn/paper_detail.html?id=a3ce6fe3d8711c729e012519b91f529a
|
[11] |
TREMBLAY J F, BELAND M. Towards operational marker-free registration of terrestrial lidar data in forests[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2018, 146: 430-435. http://www.xueshufan.com/publication/2898894047
|
[12] |
JIN Z, CHEN M, JI C, et al. Marker-free registration of terrestrial laser scanning data under forest with stem position triplet matching based on kd-tree[C]//2022 IEEE International Geoscience and Remote Sensing Symposium. New York, USA: IEEE Press, 2022: 7507-7510.
|
[13] |
DAI W X, YANG B Sh, LIANG X L, et al. Fast registration of forest terrestrial laser scans using key points detected from crowns and stems[J]. International Journal of Digital Earth, 2020, 13(12): 1585-1603. DOI: 10.1080/17538947.2020.1764118
|
[14] |
GUAN H C, SU Y J, SUN X L, et al. A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 166: 82-94. http://hub.hku.hk/handle/10722/283325
|
[15] |
NI W, SUN G, GUO Z, et al. A method for the registration of multiview range images acquired in forest areas using a terrestrial laser scanner[J]. International Journal of Remote Sensing, 2011, 32(24): 9769-9787.
|
[16] |
ZHANG W, CHEN Y, WANG H, et al. Efficient registration of terrestrial LiDAR scans using a coarse-to-fine strategy for forestry applications[J]. Agricultural & Forest Meteorology, 2016, 225: 8-23.
|
[17] |
浦石, 李京伟, 郭四清. 融合语义特征与GPS位置的地面激光点云拼接方法[J]. 测绘学报, 2014, 43(5): 545-550.
PU Sh, LI J W, GUO S Q. Registration of terrestrial laser point cloud by fusing semantic features and GPS positions[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(5): 545-550(in Chinese).
|
[18] |
韩江涛, 谭凯, 张卫国, 等. 协同随机森林方法和无人机LiDAR空谱数据的盐沼植被"精灵圈"识别[J]. 光电工程, 2024, 51(3): 230188.
HAN J T, TAN K, ZHANG W G, et al. Identification of salt marsh vegetation "fairy circles" using random forest method and spatial-spectral data of unmanned aerial vehicle LiDAR[J]. Opto-Electronic Engineering, 2024, 51(3): 230188(in Chinese).
|
[19] |
CHEN M L, WAN Y C, WNAG M W, et al. Automatic stem detection in terrestrial laser scanning data with distance-adaptive search radius[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(5): 2968-2979. http://www.xueshufan.com/publication/2794248050
|
[20] |
BESL P J, MCKAY H D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 1992, 14(2): 239-256. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=121791
|
[21] |
ANDERSEN H E, CLARKIN T, WINTERBERGER K, et al. An accuracy assessment of positions obtained using survey-and recreational-grade global positioning system receivers across a range of forest conditions within the Tanana Valley of interior Alaska[J]. Western Journal of Applied Forestry, 2009, 24(3): 128-136. http://www.cabdirect.org/abstracts/20113110143.html
|
[22] |
KAARTINEN H, HYYPPA J, VASTARANTA M, et al. Accuracy of kinematic positioning using global satellite navigation systems under forest canopies[J]. Forests, 2015, 6(9): 3218-3236. http://tuhat.helsinki.fi/portal/services/downloadRegister/57947960/forests_06_03218.pdf
|