For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. This revision of Introductory Digital Image Processing: A Remote Sensing Perspective continues to focus on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Prentice Hall Series Geographic Information Science.
This textbook was required for a graduate course on the same subject, at the University of Texas. The professor teaching the class was a colleague of Jensen. Basically, this book will tell you everything you need to know about the theory behind working with multi-spectral images acquired from satellites.
It starts with an overview of the subject, then into a very dry overview of the capabilities of some of the common orbital systems. Chapter 3 on computer hardware was totally pointless, but the remainder of the chapters were very helpful, covering the physics behind electromagnetic radiation, image correction, enhancement, classification, information extraction, hyperspectral, change detection and accuracy.
Basically, this is a high-level overview, with a lot of mathematical equations, explanations, and case studies. There are no derivations, proofs, or exercises. Almost everything in the book is a reference to a published journal or book, which is helpful if you want to read further. Most of the book seems to be published on cheap black and white paper, with a "color plate" section in the middle. This is one that I will keep around.