An improved progressive triangular irregular network densi cation ltering algorithm for airborne lidar data

HIGHLIGHTS

  • who: . and collaborators from the Hebei University of Technology, China have published the paper: An improved progressive triangular irregular network densi cation ltering algorithm for airborne LiDAR data, in the Journal: (JOURNAL)
  • what: To solve the above problems, the authors propose an improved PTD filtering algorithm to optimize the selection of seed points and the computational efficiency. This paper introduces a frontiersin.org 10.3389/feart.2022.1015153 thresholds were determined to eliminate the lowest and highest tails from the distribution (b)
  • how: This paper proposed a seed points filtering method to remove . . .

     

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