Research of filtering method for urban airborne LIDAR date

TANG Fei-fei

doi:10.3969/j.issn.1001-3806.2011.04.021

To extract urban digital terrain model (DTM) from airborne laser scanning data,a filtering algorithm was proposed after analyzing the multi-pulse characteristics of urban airborne light detection and ranging (LIDAR) data.In this method,according to the distribution characteristics of urban airborne LIDAR data,laser footprints were distributed into voxels with proper volume,then object points were excluded and terrain points were reserved on the basis of filtering rules.Finally,the experiment result shows that this method can extract DTM more effectively.Meanwhile,the calculation amount is reduced during data processing which is helpful for improving computation efficiency of the mass LIDAR data.

Research of filtering method for urban airborne LIDAR date

Corresponding author: TANG Fei-fei, fftang80@126.com;

1. School of Civil Engineering, Chongqing University, Chongqing 400044, China;

2. Key Laboratory of New Technology for Construction of Cities in Mountain Area of Minsitry of Eductation, Chongqing University, Chongqing

Received Date: 2010-10-18

Accepted Date: 2011-01-12

Available Online: 2011-07-25

Abstract: To extract urban digital terrain model (DTM) from airborne laser scanning data,a filtering algorithm was proposed after analyzing the multi-pulse characteristics of urban airborne light detection and ranging (LIDAR) data.In this method,according to the distribution characteristics of urban airborne LIDAR data,laser footprints were distributed into voxels with proper volume,then object points were excluded and terrain points were reserved on the basis of filtering rules.Finally,the experiment result shows that this method can extract DTM more effectively.Meanwhile,the calculation amount is reduced during data processing which is helpful for improving computation efficiency of the mass LIDAR data.

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Reference (8)

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Research of filtering method for urban airborne LIDAR date

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