Mr. Qi Li Profile

Qi Li

at Wuhan Univ

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Proceedings Article | 15 November 2007 Paper

Filter algorithm for airborne LIDAR data

Qi Li, Hongchao Ma, Jianwei Wu, Liqiao Tian, Feng Qiu

Proceedings Volume 6787, 67870J (2007) https://doi.org/10.1117/12.748474

KEYWORDS: LIDAR, Tin, Optical filters, Data modeling, Image filtering, Buildings, Data acquisition, 3D modeling, Airborne laser technology, Digital filtering

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Airborne laser scanning data has become an accepted data source for highly automated acquisition of digital surface models(DSM) as well as for the generation of digital terrain models(DTM). To generate a high quality DTM using LIDAR data, 3D off-terrain points have to be separated from terrain points. Even though most LIDAR system can measure "last-return" data points, these "last-return" point often measure ground clutter like shrubbery, cars, buildings, and the canopy of dense foliage. Consequently, raw LIDAR points must be post-processed to remove these undesirable returns. The degree to which this post processing is successful is critical in determining whether LIDAR is cost effective for large-scale mapping application. Various techniques have been proposed to extract the ground surface from airborne LIDAR data. The basic problem is the separation of terrain points from off-terrain points which are both recorded by the LIDAR sensor. In this paper a new method, combination of morphological filtering and TIN densification, is proposed to separate 3D off-terrain points.

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