Classification Methods for Remotely Sensed Data

This comprehensive text 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.Tso, Brandt is the author of 'Classification Methods for Remotely Sensed Data' with ISBN 9780415259095 and ISBN 0415259096.