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 language | English |
|---|---|
| Pages (from-to) | 462-466 |
| Number of pages | 5 |
| Journal | Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University |
| Volume | 39 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Jan 2014 |
| Externally published | Yes |
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