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Classification Methods for Remotely Sensed Data
Classification Methods for Remotely Sensed Data
Author: Brandt Tso, Paul M. Mather
The extraction of thematic information from remotely sensed images is a key area of research into the applications of remote sensing data. Standard methods of classificationbased on similarity and probability measures, such as the maximum likelihood procedure, are now being superseded by neural/connectionist and artificial intelligence algorithm...  more »
ISBN-13: 9780415259095
ISBN-10: 0415259096
Publication Date: 11/29/2001
Pages: 272
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Publisher: CRC Press
Book Type: Paperback
Other Versions: Hardcover
Members Wishing: 0
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