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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.
By: Bashar Alsadik (R&D Specialist Photogrammetry and Geomatics CycloMedia Technology The Netherlands)
Imprint: Elsevier Science Publishing Co Inc
Country of Publication: United States
Dimensions: Height: 235mm, Width: 191mm,
Weight: 980g
ISBN: 9780128175880
ISBN 10: 0128175885
Series: Computational Geophysics
Pages: 423
Publication Date: April 2019
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active
Statistical Introduction Propagation of Errors Least Squares Adjustment Procedures Common Observation Models and Their Adjustment in Geomatics Adjustment Using General Observation Model Adjustment with Constraints Unified Approach of Least Squares Fitting Geometric Primitives with Least Squares 3D Transformation and Co-Registration Kalman Filter Introduction to Adjustment with Levenberg-Marquardt Method Post Analysis in Adjustment Computations Appendix: MATLAB Code for Generic 2D Geodetic Networks Adjustment References
Bashar Alsadik is a technology expert engineer in the fields of photogrammetry and geomatics. He holds a PhD degree in the field from the ITC faculty in the Netherlands.
