Quality assessment and control of DEM generation from airborne LiDAR data

C. K. Wang, Y. W. Liu, Yi-Hsing Tseng

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

Abstract

DEM generation using LiDAR point clouds has become more and more popular due to the rapid development of Airborne LiDAR system. In order to produce DEM from point clouds, the major process is to filter non-ground points out from the raw data. However each filtering method cannot avoid causing classification errors, how to assess the classification results and to analysis the influences of error classification on DEM quality is an important research. Two methods are usually adopted currently. The first is the error filtering evaluation by the error matrix. The second is RMSE computed with the reference data. In this paper, the terrain relief is taken account and a normalized DEM difference is calculated as the third quality indicator. The ISPRS data is utilized in this paper and the experiments show that the combination of the three methods is suggested for a better quality control.

Original languageEnglish
Title of host publication31st Asian Conference on Remote Sensing 2010, ACRS 2010
Pages1725-1730
Number of pages6
Publication statusPublished - 2010 Dec 1
Event31st Asian Conference on Remote Sensing 2010, ACRS 2010 - Hanoi, Viet Nam
Duration: 2010 Nov 12010 Nov 5

Publication series

Name31st Asian Conference on Remote Sensing 2010, ACRS 2010
Volume2

Other

Other31st Asian Conference on Remote Sensing 2010, ACRS 2010
CountryViet Nam
CityHanoi
Period10-11-0110-11-05

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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