Geomatics is an amalgam of methods, algorithms and practices in handling data referred to the Earth by informatic tools. This book is an attempt to identify and rationally organize the statistical-mathematical methods which are common in many fields where geomatics is applied, like geodesy, geophysics and, in particular, the field of inverse problems and image analysis as it enters into photogrammetry and remote sensing.
These lecture notes aim at creating a bridge between people working in different disciplines and making them aware of a common methodological basis.

Bridging different disciplines Complete coverage of the topic Includes supplementary material: sn.pub/extras

Inhalt
An overview of data analysis methods in geomatics.- Data analysis methods in geodesy.- Linear and Nonlinear Inverse Problems.- Image Preprocessing for Feature Extraction in Digital Intensity, Color and Range Images.- Optimization-Based Approaches To Feature Extraction from Aerial Images.- Diffraction tomography through phase back-projection.