A robust mixed LS-TLS based on IGGII scheme

Xunqiang Gong, Zhilin Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

Errors in coefficient matrix and observation vectors can be reasonably taken into account in mixed LS-TLS. However, in such a solution, gross errors in the observation data are ignored. To solve this problem, a robust method of mixed LS-TLS is proposed based on the IGGII scheme. A comparative evaluation with least squares, total least square, s and mixed LS-TLS was conducted for plane fitting with a set of simulations and a set of real-life data. The results confirm that the proposed method is more reliable than the others.
Original languageEnglish
Pages (from-to)462-466
Number of pages5
JournalWuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University
Volume39
Issue number4
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

Keywords

  • IGGII scheme
  • Mixed LS-TLS
  • Plane fitting
  • Robust mixed LS-TLS
  • Total least squares (TLS)

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Earth-Surface Processes

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