Techniques for Image Processing and Classification in Remote Sensing

Schowengerdt, Robert A.

ISBN 10: 0126289808 / ISBN 13: 9780126289800

Editore: Academic Press, New York, 1983

Riguardo questo articolo

A nice, clean, tight, bright copy. Remainder mark on bottom page edges and a purple "X" on upper right front cover, otherwise would be in near fine condition. Exceptionally clean throughout. Text, photos (double page in color) , diagrams, graphs, display. Everything you need to know. 249 pg.

Codice articolo 13074

Dati bibliografici

• Titolo: Techniques for Image Processing and Classification in Remote Sensing
• Editore: Academic Press, New York
• Data di pubblicazione: 1983
• Lingua: Inglese
• ISBN 10: 0126289808
• ISBN 13: 9780126289800
• Rilegatura: Hardcover
• Edizione: First Edition
• Condizione: Very Good +
• Condizione della sovraccoperta: No Jacket
• Cataloghi dei venditori:
  • Mining and Geology

Descrizione articolo

Riassunto

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.