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prominently. Finally, this book captures the most recent developments
in image analysis comprehensively. Tremendous progress has been
made in analyzing remotely sensed data more accurately and with
greater ease. This book about digital image analysis is a timely reflection
of these recent changes and trends in the field.
This book is best used as a textbook for a course in digital image
analysis. The targeted readership of the book is upper-level under-
graduate students and lower-level postgraduate students. Ideally,
they should have had a fundamental remote sensing course in their
curriculum already. Otherwise, they need to spend more time than
other students in the class to familiarize themselves with the content
of the first few chapters. No assumption is made about their mathe-
matical background, even though it is a great advantage to understand
matrix operations in order to comprehend certain analyses better.
Besides, this book is a great reference for those practitioners, resources
managers, and consultants engaged in analysis of geospatial data,
especially those who need to derive information about the Earth from
airborne or spaceborne remote sensing materials.
Jay Gao, Ph.D.