Remote Sensing Digital Image Analysis provides a comprehensive
treatment of the methods used for the processing and interpretation of
remotely sensed image data. Over the past decade there have been
continuing and significant developments in the algorithms used for the
analysis of remote sensing imagery, even though many of the fundamentals
have substantially remained the same. As with its predecessors this new
edition again presents material that has retained value but also
includes newer techniques, covered from the perspective of operational
remote sensing.
The book is designed as a teaching text for the senior undergraduate and
postgraduate student, and as a fundamental treatment for those engaged
in research using digital image analysis in remote sensing. The
presentation level is for the mathematical non-specialist. Since the
very great number of operational users of remote sensing come from the
earth sciences communities, the text is pitched at a level commensurate
with their background.
The chapters progress logically through means for the acquisition of
remote sensing images, techniques by which they can be corrected, and
methods for their interpretation. The prime focus is on applications of
the methods, so that worked examples are included and a set of problems
conclude each chapter.
