Adjustment Models in 3D Geomatics and Computational Geophysics With MATLAB Examples
Adjustment Models in 3D Geomatics and Computational Geophysics With MATLAB Examples by Bashar Alsadik is a comprehensive resource published by Elsevier Science on April 16, 2019. This edition spans 423 pages and is presented in English, offering a detailed exploration of adjustment computations in Geomatics and geophysical applications, including photogrammetry, surveying, and remote sensing.
Readers will find a thorough introduction to both theoretical and practical subjects, supported by illustrative figures and MATLAB code examples. The book covers a range of topics such as free net adjustment, blunder detection, and error propagation, providing clear methods for processing 3D data to achieve accurate results. This resource is particularly relevant for those interested in the intersection of technology and Earth sciences, making it a valuable addition for professionals and students in these fields.
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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.
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