To see accurate pricing, please choose your delivery country.
 
 
United States
£ GBP
All Shops

British Wildlife

8 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published eight times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £33 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £26 per year
Academic & Professional Books  Reference  Data Analysis & Modelling  Cartography, Remote Sensing, Image Analysis & GIS

Classification Methods for Remotely Sensed Data

Out of Print
By: Paul Mather and Brandt Tso
332 pages, Col plates, bw plates, figs, tabs
Publisher: Taylor & Francis
Classification Methods for Remotely Sensed Data
Click to have a closer look
Select version
  • Classification Methods for Remotely Sensed Data ISBN: 9780415259095 Paperback Dec 2001 Out of Print #126538
  • Classification Methods for Remotely Sensed Data ISBN: 9780415259088 Hardback Dec 2001 Out of Print #126537
About this book Contents Related titles

About this book

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 quantization, 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 color 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.

Contents

Remote Sensing in the Optical and Microwave Regions. Pattern Recognition Principles. Pattern Recognition Using Artificial Neural Networks. Methods Based on Fuzzy Set Theory. Texture Quantization. Modeling Context Using Markov Random Fields. Multi-source Classification.

Customer Reviews

Out of Print
By: Paul Mather and Brandt Tso
332 pages, Col plates, bw plates, figs, tabs
Publisher: Taylor & Francis
Current promotions
New and Forthcoming BooksNHBS Moth TrapBritish Wildlife MagazineBuyers Guides