The extraction of linear features from airborne full-waveform LiDAR

Wan Yi Yeh, Tee-Ann Teo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Full-waveform (FWF) lidar is an advanced technology inlidar system development. Multi-echo (ME) lidar only provides 3-D point clouds and intensity, whereas FWF lidar provides entirereturned signals. The waveform attributesarethe useful information in feature extraction. However, discrete point clouds without waveform attributes are usually utilized for geometrical feature extraction. In this research, we use the waveform information to detect edges in urban area and to compare the result from discrete point clouds. The proposed method includes two major parts. First, we compute the separation distance of 3-D point clouds according to the height jump of edge points. When theseparation distances exceed the predefined threshold, we set them as the candidate edge points. Second, the different edges show different characteristics and waveform attributes. So we utilize the echo width and amplitude of the candidate edge points to remove the vegetation area. Moreover, the waveform attributes are used to discriminate the objects such as "buildings" and "power lines". The experimental data acquired by Riegl LMS-Q680i is located in Tainan city, the southern part of Taiwan. The experimental result indicates that the proposed method may separate the edge points from different objects when considering the waveform attributes.

Original languageEnglish
Title of host publication33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Pages1473-1478
Number of pages6
StatePublished - 1 Dec 2012
Event33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, Thailand
Duration: 26 Nov 201230 Nov 2012

Publication series

Name33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Volume2

Conference

Conference33rd Asian Conference on Remote Sensing 2012, ACRS 2012
CountryThailand
CityPattaya
Period26/11/1230/11/12

Keywords

  • Edge detection
  • Feature extraction
  • Full-waveform LIDAR

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