Street tree segmentation from mobile laser scanning data

References

• Che, E., J. Jung, and M. Olsen. 2019. “Object Recognition, Segmentation, and Classification of Mobile Laser Scanning Point Clouds: A State of the Art Review.” Sensors 19 (4): 810. doi:10.3390/s19040810.
   Web of Science ®Google Scholar
• Che, E., and M. J. Olsen. 2019. “An Efficient Framework for Mobile Lidar Trajectory Reconstruction and Mo-norvana Segmentation.” Remote Sensing 11 (7): 836. doi:10.3390/rs11070836.
   Web of Science ®Google Scholar
• Christiansen, M. P., M. S. Laursen, R. N. Jørgensen, S. Skovsen, and R. Gislum. 2018. “Ground Vehicle Mapping of Fields Using Lidar to Enable Prediction of Crop Biomass.” arXiv:1805.01426. CoRR, abs/1805.01426 http://arxiv.org/abs/1805.01426
   Google Scholar
• Demantk, J., C. Mallet, N. David, and B. Vallet. 2012. “Dimensionality Based Scale Selection in 3d Lidar Point Clouds.” ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 3812: 97–102. doi:10.5194/isprsarchives-XXXVIII-5-W12-97-2011.
   Google Scholar
• Dong, Y., Y. Li, D. Sun, P. Li, and H. Fan. 2018. “Street Tree Information Extraction and Dynamic Analysis Based on Vehicle-borne Lidar Data.” Geography & Geo-Information Science 34: 52–57,88.
   Google Scholar
• Freund, Y., and R. E. Schapire (1995). “A Decision-theoretic Generalization of On-line Learning and an Application to Boosting.” In Proceedings of the Second European Conference on Computational Learning Theory, Barcelona, Spain.
   Google Scholar
• Garrido, M., D. Paraforos, D. Reiser, M. Vzquez Arellano, H. Griepentrog, and C. Valero. 2015. “3d Maize Plant Reconstruction Based on Georeferenced Overlapping Lidar Point Clouds.” Remote Sensing 7 (12): 17077–17096. doi:10.3390/rs71215870.
   Web of Science ®Google Scholar
• Guan, H., S. Cao, Y. Yu, J. Li, N. Liu, P. Chen, and Y. Li. 2016a. “Street-scene Tree Segmentation from Mobile Laser Scanning Data.” The International Archives of the Photogrammetry Remote Sensing & Spatial Information Sciences XLI-B3: 221–225. doi:10.5194/isprsarchives-XLI-B3-221-2016.
   Google Scholar
• Guan, H., J. Li, S. Cao, and Y. Yu. 2016b. “Use of Mobile Lidar in Road Information Inventory: A Review.” International Journal of Image & Data Fusion 7 (3): 219–242. doi:10.1080/19479832.2016.1188860.
   Web of Science ®Google Scholar
• Holopainen, M., V. Kankare, M. Vastaranta, X. Liang, Y. Lin, M. Vaaja, X. Yu, J. Hyyppä, H. Hyyppä, and H. Kaartinen. 2013. “Tree Mapping Using Airborne, Terrestrial and Mobile Laser Scanning – A Case Study in A Heterogeneous Urban Forest.” Urban Forestry & Urban Greening 12 (4): 546–553. doi:10.1016/j.ufug.2013.06.002.
   Web of Science ®Google Scholar
• Holopainen, M., M. Vastaranta, V. Kankare, H. Hyyppä, M. Vaaja, J. Hyyppä, X. Liang, P. Litkey, X. Yu, and H. Kaartinen. 2011. “The Use of Als, Tls and Vls Measurements in Mapping and Monitoring Urban Trees.” In Urban Remote Sensing Event, Munich, Germany. 29–32.
   Google Scholar
• Huang, P., Y. Chen, J. Li, Y. Yu, and H. Nie (2015). “Extraction of Street Trees from Mobile Laser Scanning Point Clouds Based on Subdivided Dimensional Features.” In IGARSS 2015-2015 IEEE International Geoscience and Remote Sensing Symposium
   Google Scholar
• Kim, S., R. J. McGaughey, H.-E. Andersen, and G. Schreuder. 2009. “Tree Species Differentiation Using Intensity Data Derived from Leaf-on and Leaf-off Airborne Laser Scanner Data.” Remote Sensing of Environment 113 (8): 1575–1586. doi:10.1016/j.rse.2009.03.017.
   Web of Science ®Google Scholar
• Lalonde, J. F., N. Vandapel, D. F. Huber, and M. Hebert. 2010. “Natural Terrain Classification Using Three-dimensional Ladar Data for Ground Robot Mobility.” Journal of Field Robotics 23 (10): 839–861. doi:10.1002/rob.20134.
   Web of Science ®Google Scholar
• Li, L., D. Li, H. Zhu, and Y. Li. 2016a. “A Dual Growing Method for the Automatic Extraction of Individual Trees from Mobile Laser Scanning Data.” Isprs Journal of Photogrammetry & Remote Sensing 120: 37–52. doi:10.1016/j.isprsjprs.2016.07.009.
   Web of Science ®Google Scholar
• Li, Q., J. Zheng, H. Zhou, H. Zhang, Y. Shu, and B. Xu. 2016b. “Online Measurement of Tree Canopy Volume Using Vehicle-borne 2d Laser Scanning.” Transactions of the Chinese Society for Agricultural Machinery 47: 309–314.
   Google Scholar
• Lin, Y., and J. Hyyppä. 2014. “Geometrically Modeling 2d Scattered Points: A Review of the Potential for Methodologically Improving Mobile Laser Scanning in Data Processing.” International Journal of Digital Earth 7 (6): 432–449. doi:10.1080/17538947.2013.781239.
   Web of Science ®Google Scholar
• Luo, S., J. M. Chen, W. Cheng, A. Gonsamo, and H. Qin. 2017. “Comparative Performances of Airborne Lidar Height and Intensity Data for Leaf Area Index Estimation.” IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing 11 (1):300–310.
   Web of Science ®Google Scholar
• Maghsoudi, H., and S. Minaei. 2014. “A Review of Applicable Methodologies for Variable-rate Spraying of Orchards Based on Canopy Characteristics.” Journal of Crop Protection. 2014, 3 (4): 531–542.
   Google Scholar
• Pratihast, A. K., and J. K. Thakur. 2011. Urban Tree Detection Using Mobile Laser Scanning Data. Netherlands: Springer.
   Google Scholar
• Puente, I., H. Gonzlezjorge, P. Arias, and J. Armesto. 2011. “Land-based Mobile Laser Scanning Systems: A Review.” XXXVIII-5/W12. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. doi:10.5194/isprsarchives-XXXVIII-5-W12-163-2011.
   Google Scholar
• Qiuyan, H. 2019. “The Discussions on Planning of Roadside Tree Species of Nan’an Urban Area in Gaoyao District, Zhaoqing City.” Inner Mongolia Forestry Investigation and Design 42: 50–53.
   Google Scholar
• Rajiv, K., G. Rashmi, S. L. Hoang, J. Sudan, and K. Raghvendra. 2018. “Boosting Performance of Power Quality Event Identification with Kl Divergence Measure and Standard Deviation.” Measurement 126: 134–142. doi:10.1016/j.measurement.2018.05.053.
   Web of Science ®Google Scholar
• Reiser, D., M. Vzquez-Arellano, D. S. Paraforos, M. Marrido-Izard, and H. W. Griepentrog. 2018. “Iterative Individual Plant Clustering in Maize with Assembled 2d Lidar Data.” Computers in Industry 99: 42–52. doi:10.1016/j.compind.2018.03.023.
   Web of Science ®Google Scholar
• Shi, Y., N. Wang, R. Taylor, and W. Raun. 2015. “Improvement of a Ground-lidar-based Corn Plant Population and Spacing Measurement System.” Computers & Electronics in Agriculture 112: 92–101. doi:10.1016/j.compag.2014.11.026.
   Web of Science ®Google Scholar
• van Leeuwen, M., T. Hilker, N. C. Coops, G. Frazer, M. A. Wulder, G. J. Newnham, and D. S. Culvenor. 2011. “Assessment of Standing Wood and Fiber Quality Using Ground and Airborne Laser Scanning: A Review.” Forest Ecology and Management 261 (9): 1467–1478. doi:10.1016/j.foreco.2011.01.032.
   Web of Science ®Google Scholar
• Wu, B., B. Yu, W. Yue, S. Shu, W. Tan, C. Hu, Y. Huang, J. Wu, and H. Liu. 2013. “A Voxel-based Method for Automated Identification and Morphological Parameters Estimation of Individual Steet Trees from Mobile Laser Scanning Data.” Remote Sensing 5 (2): 581–611. doi:10.3390/rs5020584.
   Web of Science ®Google Scholar
• Xiuqing, K., Z. Jichen, L. Yiqun, and M. Jian. 2019. “Investigation and Analysis on Street Trees of Laoshan Area in Qingdao.” Horticulture & Seed 39: 14–16,41.
   Google Scholar
• Yang, S., Y. Li, K. Li, and J. Mao. 2014. “Tree Extraction from Vehicle-borne Lidar Data.” Engineering of Surveying and Mapping 23: 23–27.
   Google Scholar
• Yue, G., R. Liu, H. Zhang, and M. Zhou. 2015. “A Method for Extracting Street Trees from Mobile Lidar Point Clouds.” Open Cybernetics & Systemics Journal 9 (1): 204–209. doi:10.2174/1874110X01509010204.
   Google Scholar
• Zhang, B., W. Fang, C. Wei, F. Bi, C. Tang, and X. Huang (2018). “Visual Tracking Based on Cooperative Model.” In 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), Xi'an, China.
   Google Scholar
• Zhang, H., J. Xu, R. Liu, and G. Yue. 2015. “An Extraction Method of Trees in Vehicle-borne Laser Point Cloud Based on the Improved Region Growing Method.” Journal of Geomatics Science & Technology 32: 178–182.
   Google Scholar
• Zhang, X., Y. Li, J. Mao, Y. Li, and T. Huang. 2016. “Segmentation of Connected Street Trees from Mobile Lidar Data.” Science of Surveying & Mapping 41: 111–115.
   Google Scholar
• Zhao, Y., G. Tang, and M. Xu. 2015. “Hierarchical Detection of Wildfire Flame Video from Pixel Level to Semantic Level.” Expert Systems with Applications 42 (8): 4097–4104. doi:10.1016/j.eswa.2015.01.018.
   Web of Science ®Google Scholar
• Zhen, Z., L. Quackenbush, and L. Zhang. 2016. “Trends in Automatic Individual Tree Crown Detection and Delineationevolution of Lidar Data.” Remote Sensing 8 (4): 333. doi:10.3390/rs8040333.
   Web of Science ®Google Scholar
• Zhong, L., L. Cheng, H. Xu, Y. Wu, Y. Chen, and M. Li. 2016. “Segmentation of Individual Trees from Tls and Mls Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 (2): 774–787.
   Google Scholar
• Zhong, R., J. Wei, W. Su, and Y. F. Chen. 2013. “A Method for Extracting Trees from Vehicle-borne Laser Scanning Data.” Mathematical and Computer Modelling 58 (3–4): 733–742. doi:10.1016/j.mcm.2012.12.038.
   Web of Science ®Google Scholar
• Zhou, S., F. Kang, W. Li, J. Kan, Y. Zheng, and G. He. 2019. “Extracting Diameter at Breast Height with a Handheld Mobile Lidar System in an Outdoor Environment.” Sensors 19 (14): 3212. doi:10.3390/s19143212.
   Web of Science ®Google Scholar