LiDAR data processing and applications

Shih Hong Chio, Tzu Yi Chuang, Pai Hui Hsu, Jen Jer Jaw, Shih Yuan Lin, Yu Ching Lin, Tee Ann Teo, Fuan Tsai, Yi Hsing Tseng, Cheng Kai Wang, Chi Kuei Wang, Miao Wang, Ming Der Yang

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Light detection and ranging (LiDAR), also called laser scanning, is an effective remote sensing system for acquiring threedimensional (3D) information about scanned objects, which has been widely applied in a broad range of disciplines since it was first developed less than two decades ago (Baltsavias, 1999a; Krabill et al., 2000). A LiDAR system integrates several accurate optical, electronic, mechanic, timing, and georeferencing units that make it enable to acquire 3D point measurements rapidly. LiDAR systems are mainly classified into two types based on the motions that occur when they collect data. The first category includes static terrestrial (or ground-based) LiDAR systems (usually mounted at a tripod) with a variety of scanning ranges, which are also called 3D laser scanners. The primary component of a terrestrial LiDAR system is a laser ranging unit to obtain the distance to the target. Integrating with one or two rotating mirror or prism that changes the direction of emitting laser pulses, the LiDAR system can scan and measure the distances to the surrounding objects. By calculating the obtained range and the scanning angle, the 3D coordinates of the scanned target are obtained. Because the mirror rotates in rapid speed with small-angle variation when the LiDAR operates, a huge number of dense and accurate point measurements, often called point cloud, of the surfaces of scanned objects are obtained (Figure 17.1).

Original languageEnglish
Title of host publicationRemotely Sensed Data Characterization, Classification, and Accuracies
PublisherCRC Press
Pages343-374
Number of pages32
Volume1
ISBN (Electronic)9781482217872
ISBN (Print)9781482217865
DOIs
Publication statusPublished - 2015 Jan 1

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All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

Cite this

Chio, S. H., Chuang, T. Y., Hsu, P. H., Jaw, J. J., Lin, S. Y., Lin, Y. C., Teo, T. A., Tsai, F., Tseng, Y. H., Wang, C. K., Wang, C. K., Wang, M., & Yang, M. D. (2015). LiDAR data processing and applications. In Remotely Sensed Data Characterization, Classification, and Accuracies (Vol. 1, pp. 343-374). CRC Press. https://doi.org/10.1201/b19294