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Chapter 1 - Statistical Introduction
Pages 1-22 - Book chapterAbstract only
Chapter 2 - Propagation of Errors
Pages 23-51 - Book chapterAbstract only
Chapter 3 - Least Squares Adjustment Procedures
Pages 53-88 - Book chapterAbstract only
Chapter 4 - Observation Models and Least Squares Adjustment
Pages 89-151 - Book chapterAbstract only
Chapter 5 - Adjustment Using General Observation Model (Av + B Δ = F)
Pages 153-167 - Book chapterAbstract only
Chapter 6 - Adjustment With Constraints
Pages 169-214 - Book chapterAbstract only
Chapter 7 - Unified Approach of Least Squares
Pages 215-242 - Book chapterAbstract only
Chapter 8 - Fitting Geometric Primitives With Least Squares
Pages 243-271 - Book chapterAbstract only
Chapter 9 - 3D Transformation and Coregistration
Pages 273-298 - Book chapterAbstract only
Chapter 10 - Kalman Filter
Pages 299-326 - Book chapterAbstract only
Chapter 11 - Introduction to the adjustment With Levenberg–Marquardt Method
Pages 327-344 - Book chapterAbstract only
Chapter 12 - Postanalysis in Adjustment Computations
Pages 345-385 - Book chapterNo access
Appendix A - MATLAB Code of General 2D Geodetic Network Adjustment
Pages 387-405 - Book chapterNo access
References
Pages 407-409 - Book chapterNo access
Index
Pages 411-415
About the book
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.
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
- 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
- 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
Details
ISBN
978-0-12-817588-0
Language
English
Published
2019
Copyright
Copyright © 2019 Elsevier Inc. All rights reserved.
Imprint
Elsevier