Classification Methods for Remotely Sensed Data

by Paul Mather, Brandt Tso

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 data and more powerful computers to mine and process it. What seemed visionary but a decade ago is now being put to use and refined in

376 pages, Kindle Edition

First published April 1, 2009

Reviews

[Reader · Rating 5 out of 5]

Covering the up to date classification methods and providing a comprehensive references in remote sensing classification fields.