Computer Processing of Remotely-Sensed Images: An Introduction

Mather, Paul M.:

ISBN 10: 0471906484 / ISBN 13: 9780471906483

Published by John Wiley & Sons, 1987

About this Item

352 Seiten; Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. Einbandkanten sind leicht bestoßen. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 710. Seller Inventory # 2091334

Bibliographic Details

Title: Computer Processing of Remotely-Sensed ...

Publisher: John Wiley & Sons

Publication Date: 1987

Binding: gebundene Ausgabe

Condition: Gut

About this title

Synopsis:

This book is primarily concerned with computer techniques for the extraction of information from remotely-sensed image data. Particular topics are covered within the general field of the processing of remotely-sensed data in the form of digital images, and their application to a range of problems drawn from the earth and environmental sciences. The introductory chapters deal with physical principles and the sources and nature of remotely-sensed image data. Satellite platforms currently or recently in use, as well as those proposed for the near future, are described, followed by the characteristics of digital computers as they relate to the processing of remotely-sensed image data.

Review:

"Like its first edition, Computer Processing of Remotely–Sensed Images: An Introduction will serve as a well–structured introductory textbook for geography students studying remote sensing at an advanced undergraduate and Masters levels. The book can be used as a sequence of remote sensing tutorials, with questions at the end of each chapter..", , , GI News#

"...a stand–alone introduction to image processing..."
––Geography, October 2000

"The first edition of this book was very successful and I would anticipate that this success will continue to be enjoyed by this new edition."
––International Journal of Remote Sensing, Vol 22/7, 2001