The analysis of object-based point clouds features using airborne waveform lidar data

Tee-Ann Teo*

*Corresponding author for this work

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

Abstract

Full-waveform lidar system records the received signals continuously for analysis. As it provides more information than the conventional pulsed lidar, the waveform lidar plays an important role in land cover classification as well as object reconstruction. The objective of this research is to analyze the features of grouped full-waveform lidar point clouds. The two major works are segmentation and feature analysis. Segmentation uses a 3-D region growing technique to merge the neighboring points within a certain distance. After segmentation, the features of each object are calculated to detect the building regions. An object's features include geometric, waveform and statistical features. The test data is acquired by Riegl Q680i and is located in Tainan, Taiwan. The point density is 10 pts/m2. The experimental result indicates that the proposed method may detect the buildings effectively.

Original languageEnglish
Title of host publication34th Asian Conference on Remote Sensing 2013, ACRS 2013
PublisherAsian Association on Remote Sensing
Pages431-435
Number of pages5
ISBN (Print)9781629939100
StatePublished - 1 Jan 2013
Event34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
Duration: 20 Oct 201324 Oct 2013

Publication series

Name34th Asian Conference on Remote Sensing 2013, ACRS 2013
Volume1

Conference

Conference34th Asian Conference on Remote Sensing 2013, ACRS 2013
CountryIndonesia
CityBali
Period20/10/1324/10/13

Keywords

  • Features
  • Lidar
  • Object-based classification
  • Waveform

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  • Cite this

    Teo, T-A. (2013). The analysis of object-based point clouds features using airborne waveform lidar data. In 34th Asian Conference on Remote Sensing 2013, ACRS 2013 (pp. 431-435). (34th Asian Conference on Remote Sensing 2013, ACRS 2013; Vol. 1). Asian Association on Remote Sensing.