Multi-scale registration of LiDAR data and aerial image

Si Ying Chen, Xiao Lu Wang, Yin Chao Zhang, He Chen, Pan Guo

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

A multi-scale registration method was presented for aerial image and light detection and ranging (LiDAR) data. Multi-scale registration refers to a “from coarse to fine” and progressive registration strategy based on scale-space theory. Area morphology was used to build the scale-space. The methodology includes two parts: first, registration in coarse scale with surface patch and second, registration in fine scale with linear feature. In this proposed method, the search for matched lines was simplified as a result of progressive registration strategy. The automaticity was improved. Besides, the area morphological scale-space was used to improve the accuracy of extraction of the registration primitives. This method was verified with experiment.

Original languageEnglish
Pages (from-to)186-190
Number of pages5
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume36
Issue number2
DOIs
Publication statusPublished - 1 Feb 2016

Keywords

  • Aerial image
  • Area morphology
  • LiDAR
  • Registration
  • Scale space

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