Adjustment Models in 3D Geomatics and Computational Geophysics
With MATLAB Examples
- 1st Edition, Volume 4 - April 16, 2019
- Latest edition
- Author: Bashar Alsadik
- Language: English
Adjustment Models in 3D Geomatics and Computational Geophysics: With MATLAB Examples, Volume Four introduces a complete package of theoretical and practical subjects in adjustmen… Read more
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Description
Description
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.
Key features
Key features
- Covers both the theory and practice of using adjustment techniques in a wide variety of modern applications in Geomatics
- Presents topics on the Kalman filter, Robust estimation, Levenberg Marquardt technique, and many other vital applications in the context of Geomatics and photogrammetry
- Provides 75 solved problems in detail, especially related to 3-dimensional applications of Geomatics
- Offers MATLAB codes to strengthen understanding and give readers up-to-date knowledge on information science
Readership
Readership
Students, lecturers and researchers in the fields of: Geomatics, geophysics, surveying, geo-spatial engineering, geoinformatics, and photogrammetry. Suitable for a BSc., MSc., and PhD course in Geomatics, surveying, geo-spatial engineering, geoinformatics, remote sensing, photogrammetry, computer vision, and robotics
Table of contents
Table of contents
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
Product details
Product details
- Edition: 1
- Latest edition
- Volume: 4
- Published: April 16, 2019
- Language: English
About the author
About the author
BA