Filter algorithm for airborne LIDAR data

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原文链接

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外文摘要：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。

外文关键词：

LIDARmorphological filteringTIN densificationDSMDTM

作者：

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

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作者单位：

School of Remote Sensing Information Engineering, Wuhan University, 129 Luoyu Road,Wuhan, China, 430079

State Key Laboratory of Information Engineering in Surveying, Mapping Remote Sensing Wuhan University, Wuhan, China

会议名称：

Conference on Multispectral Image Processing; 20071115-17; Wuhan(CN)

会议地点：

Wuhan(CN)

会议母体文献：

MIPPR 2007: Multispectral Image Processing; Proceedings of SPIE-The International Society for Optical Engineering; vol.6787

页码：

P.18.1-18.7

出版时间：

2007