Adjustment Models in 3D Geomatics and Geophysical Computations: With MATLAB Examples introduces a complete package of theoretical and practical subjects in adjustment computations related to geomatics and geophysical applications, particularly photogrammetary, surveying, remote senseing, GIS, cartography, geodesy, and computing. Presented in a simple way supported by illustrating figures and solved examples supported by MATLAB codes, the book provides clear methods for processing 3D data for accurate and reliable results. Including problems related to free net adjustment, adjustment with constraints, blunder detection, RANSAC, robust estimation, error propagation, 3D co-registration, image pose determination, and others, the Adjustment Models in 3D Geomatics and Geophysical Computations is a practical guide to adjustment computation as applied to reliable use of measured geomatic and geophysical data. Covers both theory and practice of using adjustment techniques to a wide variety of modern applications in Geomatics Presents topics including 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 the understanding of the solutions and to comply with up-to-date knowledge of information science.