Classification Methods for Remotely Sensed Data

Author: Paul Mather
Edition: 1
Binding: Paperback
ISBN: 0415259096

Classification Methods for Remotely Sensed Data

Remote sensing is an integral part of geography, GIS and cartography, used by academics in the field and professionals in all sorts of occupations. Download Classification Methods for Remotely Sensed Data from rapidshare, mediafire, 4shared. 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 Search and find a lot of engineering books in many category availabe for free download.

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Download Classification Methods for Remotely Sensed Data engineering books for free. Students in GIS and remote sensing should find this an essential read when learning about and dealing with new developments

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