CLASSIFICATION METHODS FOR REMOTE SENSED DATA by Mather, Paul ISBN 0415259096
From Student Book World
|
[edit] CLASSIFICATION METHODS FOR REMOTE SENSED DATA
This book provides a survey of the new methods for the extraction of thematic information from remotely sensed images, together with a guide to the essential preliminaries.
Remote sensing is an integral part of geography, GIS and cartography, used by academics in the field and professionals in all sorts of occupations. The 1990s saw the development of a range of new methods of classifying remote sensing images and data, both optical imaging and microwave imaging. This comprehensive survey of the various techniques pulls together information from a range of sources and sets it in the context of the basic principles. There is an emphasis on new methods, including neural networks (especially artificial neural networks), fuzzy theory, texture and quantisation, and the use of Markov random fields. Students in GIS and remote sensing should find this an essential read when learning about and dealing with new developments in the field. It is concise and accessible and the authors conclude with coverage of the state-of-the-art topics of multisource data analysis, evidential reasoning and genetic algorithms. Including a full colour section and basic remote sensing theory, this book will prove invaluable for advanced undergraduate students and graduates/researchers in the field. There is very little published in this field yet, and there is distinct need for such an analysis of this fast-growing area.
[edit] Book Details
[edit] Title
CLASSIFICATION METHODS FOR REMOTE SENSED DATA
[edit] Author
Mather, Paul
[edit] ISBN
0415259096
[edit] Published
29/11/2001
[edit] Publisher
Taylor & Francis
[edit] Binding
paperback
[edit] Retail Price
39.99 (GBP)
[edit] Typical Price Online
37.99 (GBP)
[edit] Buy Book Online
If you wish to purchase CLASSIFICATION METHODS FOR REMOTE SENSED DATA, written by Mather, Paul and published by Taylor & Francis on 29/11/2001 then we have listed a few select online book retailers who can provide good value and service.
| ISBN 0415259096 |
|---|
Template:Section1862
