Classification Methods for Remotely Sensed Data

Mather, Paul

ISBN 10: 0415259096 / ISBN 13: 9780415259095

Published by CRC, 2001

About this Item

Pencil on inside page. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Seller Inventory # Z1-C-043-01705

Bibliographic Details

• Title: Classification Methods for Remotely Sensed Data
• Publisher: CRC
• Publication Date: 2001
• Language: English
• ISBN 10: 0415259096
• ISBN 13: 9780415259095
• Binding: Soft cover
• Condition: Good

About this title

Synopsis

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.

About the Author

Dr. Brandt Tso received Ph.D. from the School of Geography,the University of Nottingham UK. Dr. Tso currently is an assistant professor in the institute for Resource Management, National Defense Management College, Taiwan. His research insterests cover the most automatic pattern recognition methodology, and currently is developping an automatic classification systems for remote sensing imagery!

Prof. Paul Mather has been Professor of Geographical Information Science since 1988; teaching and research interests cover physical geography, multivariate analysis, remote sensing, and GIS. Member of Editorial Board of Progress in Physical Geography. Adviser to the Council of the Remote Sensing and Photogrammetric Society, Adviser to EARSeL Bureau (European Association of Remote Sensing Laboratories).

Books include Computational Methods of Multivariate Analysis in Physical Geography (Wiley, 1976), Computer Processing of Remotely Sensed Images (Wiley, 1999). Classification Methods for Remotely Sensed Data (with Brandt Tso) (Taylor and Francis 2001)

Awarded OBE in the Queen's Jubilee Honours list, June 2002, "For services to the Remote Sensing and Photogrammetry Society".