<p><span>The third edition of the bestselling </span><span>Classification Methods for Remotely Sensed Data</span><span> covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data. This book is thoroughly updated to meet the needs of readers t
Classification Methods for Remotely Sensed Data
β Scribed by Paul Mather (Author); Brandt Tso (Author)
- Publisher
- CRC Press
- Year
- 2001
- Leaves
- 354
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ 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 pul
β¦ Subjects
Environment & Agriculture;Geography;GIS, Remote Sensing & Cartography;Geographic Information Systems
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<P><STRONG>Provides a Comprehensive Vision of All the Must-Learn Methods </P> <P>Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has expanded in many new directions that make use of new technologies to capture dat
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