Full-waveform lidar processing with different computation and classification methods

Wei Tsun Lin*, Tian-Yuan Shih, Tee-Ann Teo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Airborne Lidar can provide three dimensional point clouds in a very efficient manner. Most operational systems receive one or more discrete echoes from each emitted laser pulse. Full-waveform lidar systems record much dense return signals of each pulse. This facilitates further analysis with the waveform in the post processing. With this option, additional information of the target's properties could be extracted, as well as improving the quality of the extracted features. Both digital terrain model (DTM) and canopy height model (CHM) generation can be benefited from this feature. This study investigates different echo extraction schemes, namely, center of gravity estimation (COG), Gaussian pulse fitting (GPF), Gaussian pulse estimation (GPE), and two classification methods, simple decision tree and simple classification procedure, with a real dataset collected with RIEGL LMS-Q560. The differences between these schemes are comparatively studied.

Original languageEnglish
Title of host publication31st Asian Conference on Remote Sensing 2010, ACRS 2010
Pages1286-1291
Number of pages6
StatePublished - 1 Dec 2010
Event31st Asian Conference on Remote Sensing 2010, ACRS 2010 - Hanoi, Viet Nam
Duration: 1 Nov 20105 Nov 2010

Publication series

Name31st Asian Conference on Remote Sensing 2010, ACRS 2010
Volume2

Conference

Conference31st Asian Conference on Remote Sensing 2010, ACRS 2010
CountryViet Nam
CityHanoi
Period1/11/105/11/10

Keywords

  • Classification
  • Gaussian pulse estimation
  • Gaussian pulse fitting

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  • Cite this

    Lin, W. T., Shih, T-Y., & Teo, T-A. (2010). Full-waveform lidar processing with different computation and classification methods. In 31st Asian Conference on Remote Sensing 2010, ACRS 2010 (pp. 1286-1291). (31st Asian Conference on Remote Sensing 2010, ACRS 2010; Vol. 2).