Volume 42 Issue 2
Feb.  2014
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Article Navigation >  Infrared and Laser Engineering  > 2013  >  42(2): 349-354

Sun Chongli, Su Wei, Wu Honggan, Liu Rui, Liu Ting, Huang Jianxi, Zhu Dehai, Zhang Xiaodong, Liu Junming. Improved hierarchical moving curved filtering method of LIDAR data[J]. Infrared and Laser Engineering, 2013, 42(2): 349-354.
Citation: Sun Chongli, Su Wei, Wu Honggan, Liu Rui, Liu Ting, Huang Jianxi, Zhu Dehai, Zhang Xiaodong, Liu Junming. Improved hierarchical moving curved filtering method of LIDAR data[J]. Infrared and Laser Engineering, 2013, 42(2): 349-354.
shu

Improved hierarchical moving curved filtering method of LIDAR data

  • 1.

    Key Laboratory of Agri-informatics,Ministy of Agriculture,P. R. China,Beijing 100083,China;

  • 2.

    College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China;

  • 3.

    Chinese Academy of Forestry Resource Information Institute,Beijing 100091,China

  • Received Date: 2012-06-10
  • Rev Recd Date: 2012-07-20
  • Publish Date: 2013-02-25
  • LIDAR data filtering is to obtain high-precision digital elevation model of improved hierarchical moving curved fitting algorithm, removed the rough points and most of the buildings side points, by gridding points, data index were calculated, used the least squares fitting surface, the adjacent surfaces maintained a certain overlap degree, automatically set the threshold for processing the raw data. Finally, used the multi-scale weighted interpolation method to generate digital elevation model. Adopt test data provided by international photogrammetry and remote sensing society(ISPRS).Results show that the algorithm reduced three types error possibility, total error of filtering in first study area decreases from 8.39% to 7.40%, and the total error in the second study area decrease from 6.39% to 5.86%, the generated digital elevation model to meet the precision requirements, algorithm can be popularized.
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    [5] Liu Jingnan, Xu Xiaodong, Zhang Xiaohong, et al. Adaptive hierarchical and weighted iterative filtering of airborne LIDAR data and its quality assessment[J]. Geomatics and Information Science of Wuhan University, 2008, 33(6): 551-555. (in Chinese)
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Improved hierarchical moving curved filtering method of LIDAR data

  • 1. Key Laboratory of Agri-informatics,Ministy of Agriculture,P. R. China,Beijing 100083,China;
  • 2. College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China;
  • 3. Chinese Academy of Forestry Resource Information Institute,Beijing 100091,China
  • Received Date: 2012-06-10
  • Rev Recd Date: 2012-07-20
  • Publish Date: 2013-02-25

Abstract: LIDAR data filtering is to obtain high-precision digital elevation model of improved hierarchical moving curved fitting algorithm, removed the rough points and most of the buildings side points, by gridding points, data index were calculated, used the least squares fitting surface, the adjacent surfaces maintained a certain overlap degree, automatically set the threshold for processing the raw data. Finally, used the multi-scale weighted interpolation method to generate digital elevation model. Adopt test data provided by international photogrammetry and remote sensing society(ISPRS).Results show that the algorithm reduced three types error possibility, total error of filtering in first study area decreases from 8.39% to 7.40%, and the total error in the second study area decrease from 6.39% to 5.86%, the generated digital elevation model to meet the precision requirements, algorithm can be popularized.

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