Techniques for Image Processing and Classifications in Remote Sensing

Schowengerdt, Robert A.

ISBN 10: 0126289808 / ISBN 13: 9780126289800

Published by Academic Press, 1984

About this Item

Dispatched, from the UK, within 48 hours of ordering. This book is in good condition but will show signs of previous ownership. Please expect some creasing to the spine and/or minor damage to the cover. Aged book. Tanned pages and age spots, however, this will not interfere with reading. Missing jacket. The dust jacket of the book is missing. Seller Inventory # CHL10235224

Bibliographic Details

Title: Techniques for Image Processing and ...

Publisher: Academic Press

Publication Date: 1984

Binding: hardcover

Condition: Used; Good

About this title

Synopsis:

Techniques for Image Processing and Classifications in Remote Sensing provides an introduction to the fundamentals of computer image processing and classification (commonly called ""pattern recognition"" in other applications). The book begins with a discussion of digital scanners and imagery, and two key mathematical concepts for image processing and classification―spatial filtering and statistical pattern recognition. This is followed by separate chapters on image processing and classification techniques that are widely used in the remote sensing community. The emphasis throughout is on techniques that assist in the analysis of images, not particular applications of these techniques. The book also has four appendixes, featuring a bibliography; an introduction to computer binary data representation and image data formats; a discussion of interactive image processing; and a selection of exam questions from the Image Processing Laboratory course at the University of Arizona. This book is intended for use as either a primary source in an introductory image processing course or as a supplementary text in an intermediate-level remote sensing course. The academic level addressed is upper-division undergraduate or beginning graduate, and familiarity with calculus and basic vector and matrix concepts is assumed.