Adjustment Models in 3D Geomatics and Computational Geophysics

Adjustment Models in 3D Geomatics and Computational Geophysics

With MATLAB Examples

1st Edition - April 16, 2019

Write a review

  • Author: Bashar Alsadik
  • eBook ISBN: 9780128175897
  • Paperback ISBN: 9780128175880

Purchase options

Purchase options
DRM-free (Mobi, EPub, PDF)
Sales tax will be calculated at check-out

Institutional Subscription

Free Global Shipping
No minimum order


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


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

  • 1. Statistical Introduction
    2. Propagation of Errors
    3. Least Squares Adjustment Procedures
    4. Common Observation Models and Their Adjustment in Geomatics
    5. Adjustment Using General Observation Model
    6. Adjustment with Constraints
    7. Unified Approach of Least Squares
    8. Fitting Geometric Primitives with Least Squares
    9. 3D Transformation and Co-Registration
    10. Kalman Filter
    11. Introduction to Adjustment with Levenberg-Marquardt Method
    12. Post Analysis in Adjustment Computations

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

Product details

  • No. of pages: 423
  • Language: English
  • Copyright: © Elsevier 2019
  • Published: April 16, 2019
  • Imprint: Elsevier
  • eBook ISBN: 9780128175897
  • Paperback ISBN: 9780128175880

About the Author

Bashar Alsadik

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.

Affiliations and Expertise

Assistant Professor, University of Twente, the Netherlands

Ratings and Reviews

Write a review

Latest reviews

(Total rating for all reviews)

  • Tareq Fri Jul 10 2020

    Useful book for my study

    This book helped me in my study at my 3rd year of my BSc. in Geomatics. It has solved examples and matlab codes which made it easy to understand.