ENGLISH

Classification Methods for Remotely Sensed Data

By Paul Mather , Brandt Tso

Book information

Publisher
CRC Press
Year
2009
ISBN
9781420090727, 1420090720
LCC
G70.4 .T784 2009
Open Library ID
OL23079822M
Language
english
Format
CHM
Filesize
8 MB (8876387 bytes)
Edition
2
Pages
376\0
Library
Kolxo3
Time added
2009-07-20 03:45:11

Description

This comprehensive emphasizes new methods involved in the extraction of thematic information from remotely sensed images, including neural networks (especially artificial neural networks), fuzzy theory, texture and quantization, and the use of Markov random fields. 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, Classification Methods for Remotely Sensed Data will prove invaluable for advanced undergraduate students and graduates/researchers in the field.

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