Adjustment Models in 3D Geomatics and Computational Geophysics

With MATLAB Examples
Erscheinungsjahr 2019
ISBN: 978-0-12-817588-0
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 423 Seiten, Format (B × H): 234 mm x 192 mm, Gewicht: 874 g

Reihe: Computational Geophysics

Adjustment Models in 3D Geomatics and Computational Geophysics: With MATLAB Examples, Volume Four introduces a complete package of theoretical and practical subjects in adjustment computations relating to Geomatics and geophysical applications, particularly photogrammetry, surveying, remote sensing, GIS, cartography, and geodesy. Supported by illustrating figures and solved examples with MATLAB codes, the book provides clear methods for processing 3D data for accurate and reliable results. Problems cover free net adjustment, adjustment with constraints, blunder detection, RANSAC, robust estimation, error propagation, 3D co-registration, image pose determination, and more.

Autoren/Hrsg.

Alsadik, Bashar

Fachgebiete

• Geowissenschaften Geologie Geophysik
• Naturwissenschaften Physik Angewandte Physik Geophysik

Inhaltsverzeichnis

1. Statistical Introduction2. Propagation of Errors3. Least Squares Adjustment Procedures4. Common Observation Models and Their Adjustment in Geomatics5. Adjustment Using General Observation Model6. Adjustment with Constraints7. Unified Approach of Least Squares8. Fitting Geometric Primitives with Least Squares9. 3D Transformation and Co-Registration10. Kalman Filter11. Introduction to Adjustment with Levenberg-Marquardt Method12. Post Analysis in Adjustment Computations

Appendix: MATLAB Code for Generic 2D Geodetic Networks Adjustment References

Über Autor(innen)

Alsadik, Bashar
Bashar Alsadik is an assistant professor in photogrammetry. He holds a PhD degree in the field of Geoinformation from the ITC faculty in the Netherlands.