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.
1. Chapter 1: Statistical Introduction - p. viii 2. Chapter 2: Propagation of Errors - p. 22 3. Chapter 3: Least Squares Adjustment Procedures - p. 51 4. Chapter 4: Observation Models and Least Squares Adjustment - p. 88 5. Abstract - p. 89 6. 4.1 Introduction - p. 89 7. 4.2 Observation Models in 2D - p. 90 8. 4.3 Observation Model of 3D Distances - p. 100 9. 4.4 Observation Model of Vertical Angles - p. 105 10. 4.5 Observation Model of 3D Line Intersection - p. 113 11. 4.6 Observation Model of 3D Resection With Oblique Angles - p. 118 12. 4.7 Observation Models in Photogrammetry - p. 124 13. 4.9 Least Squares Adjustment in Computational Geophysics - p. 141 14. Chapter 5: Adjustment Using General Observation Model (Av + B Δ = F) - p. 151 15. Chapter 6: Adjustment With Constraints - p. 167 16. Chapter 7: Unified Approach of Least Squares - p. 214 17. Chapter 8: Fitting Geometric Primitives With Least Squares - p. 242 18. Chapter 9: 3D Transformation and Coregistration - p. 271 19. Chapter 10: Kalman Filter - p. 298 20. Chapter 11: Introduction to the adjustment With Levenberg–Marquardt Method - p. 326 21. Chapter 12: Postanalysis in Adjustment Computations - p. 344 22. Appendix A: MATLAB Code of General 2D Geodetic Network Adjustment - p. 385 23. References - p. 407 24. Index - p. 411
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.
1. Chapter 1: Statistical Introduction - p. viii 2. Chapter 2: Propagation of Errors - p. 22 3. Chapter 3: Least Squares Adjustment Procedures - p. 51 4. Chapter 4: Observation Models and Least Squares Adjustment - p. 88 5. Abstract - p. 89 6. 4.1 Introduction - p. 89 7. 4.2 Observation Models in 2D - p. 90 8. 4.3 Observation Model of 3D Distances - p. 100 9. 4.4 Observation Model of Vertical Angles - p. 105 10. 4.5 Observation Model of 3D Line Intersection - p. 113 11. 4.6 Observation Model of 3D Resection With Oblique Angles - p. 118 12. 4.7 Observation Models in Photogrammetry - p. 124 13. 4.9 Least Squares Adjustment in Computational Geophysics - p. 141 14. Chapter 5: Adjustment Using General Observation Model (Av + B Δ = F) - p. 151 15. Chapter 6: Adjustment With Constraints - p. 167 16. Chapter 7: Unified Approach of Least Squares - p. 214 17. Chapter 8: Fitting Geometric Primitives With Least Squares - p. 242 18. Chapter 9: 3D Transformation and Coregistration - p. 271 19. Chapter 10: Kalman Filter - p. 298 20. Chapter 11: Introduction to the adjustment With Levenberg–Marquardt Method - p. 326 21. Chapter 12: Postanalysis in Adjustment Computations - p. 344 22. Appendix A: MATLAB Code of General 2D Geodetic Network Adjustment - p. 385 23. References - p. 407 24. Index - p. 411
