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Least Squares Collocation Alternative to Helmert’s Transformation with Hausbrandt’s Post – Transformation Correction Cover

Least Squares Collocation Alternative to Helmert’s Transformation with Hausbrandt’s Post – Transformation Correction

By: Marcin Ligas and  Piotr Banasik  
Open Access
|Feb 2015

Abstract

The paper presents a least squares collocation - based alternative to Helmert’s transformation with Hausbrandt’s post – transformation correction. The least squares collocation is used as an exact predictor i.e. it honors the data, thus the problem of zero residuals on transformation control points is overcome and zero residuals are assured by the method applied. Despite the fact that the procedure is presented for Helmert’s transformation it may easily be copied to any other form of coordinate transformation. A numerical example is provided within the content of the paper.

DOI: https://doi.org/10.2478/rgg-2014-0009 | Journal eISSN: 2391-8152 | Journal ISSN: 0867-3179
Language: English
Page range: 23 - 34
Published on: Feb 3, 2015
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2015 Marcin Ligas, Piotr Banasik, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.