Introductory Digital Image Processing: A Remote Sensing Perspective

by John R. Jensen

Explains how to apply digital image processing techniques to remotely sensed imagery, and how to obtain useful results and information during this process. It assumes a course in introductory remote sensing or air photo interpretation, college algebra, and basic statistics.

Genres: School, Textbooks

316 pages, Hardcover

First published April 28, 1986

Reviews

[Andrew Dalgleish · Rating 4 out of 5]

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.

[Lori · Rating 4 out of 5]

One of my favorite remote sensing textbooks - gave a great overview of the field even though the material is dated.

[Leon · Rating 5 out of 5]

best

[Thuy Linh]

best

[Whisper Sielnt]

what a shit service is that? where is the book?!!!!!!!!!