Abstract
Recently, we have lots of LiDAR (Light Detection And Ranging) data. They are typically a set of point cloud, for applications of high-resolution maps, geodesy, geomatics, archaeology, geography, geology, geomorphology, seismology, forestry, atmospheric physics, airborne laser swath mapping, laser altimetry, and others. We have implemented an efficient LiDAR data handling library and its GUI-style application program. In this paper, we presented an efficient way of fast prototyping some LiDAR point cloud handling operations. We also show the results of these fast prototyping.
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References
Heritage G, Large A (eds) (2009) Laser Scanning for The Environmental Sciences. Wiley, Chichester. ISBN 1-4051-5717-8
Maltamo M, Næsset E, Vauhkonen J (2014) Forestry applications of airborne laser scanning: concepts and case studies, vol 27. Springer Science & Business Media. ISBN 9-4017-8662-3
Shan J, Toth CK (eds) (2008) Topographic Laser Ranging and Scanning: Principles and Processing. CRC Press, Boca Raton. ISBN 1-4200-5142-3
Vosselman G, Maas HG (eds) (2010) Airborne and Terrestrial Laser Scanning. Whittles Publishing, Dunbeath. ISBN 1-4398-2798-2
Cloud Compare. http://www.cloudcompare.org/. (visited in Feb 2017)
Acknowledgement
This study was supported by the 2015 Technology Innovation Development program (project name: “Development of 3D GIS Platform for the LiDAR Data Utilization”) funded by the Small and Medium Business Administration, Korea (project number: S2306348).
This study was supported by the BK21 Plus project (SW Human Resource Development Program for Supporting Smart Life) funded by the Ministry of Education, School of Computer Science and Engineering, Kyungpook National University, Korea (21A20131600005).
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Shin, Ws., Baek, N. (2018). Fast Prototyping for LiDAR-Scanned Point Cloud Editing Operations. In: Kim, K., Joukov, N. (eds) Mobile and Wireless Technologies 2017. ICMWT 2017. Lecture Notes in Electrical Engineering, vol 425. Springer, Singapore. https://doi.org/10.1007/978-981-10-5281-1_28
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DOI: https://doi.org/10.1007/978-981-10-5281-1_28
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