Front cover; Contents; Preface to the Second Edition; Preface to the First Edition; Author Biographies; Chapter 1. Remote Sensing in the Optical and Microwave Regions; Chapter 2. Pattern Recognition Principles; Chapter 3. Artificial Neural Networks; Chapter 4. Support Vector Machines; Chapter 5. Methods Based on Fuzzy Set Theory; Chapter 6. Decision Trees; Chapter 7. Texture Quantization; Chapter 8. Modeling Context Using Markov Random Fields; Chapter 9. Multisource Classification; Bibliography; Index; Back cover
Summary
Provides a comprehensive review of the field of classification methods applied to remotely sensed data. This work provides a detailed discussion of different approaches to image classification, including maximum likelihood, fuzzy sets, and artificial neural networks
Bibliography
Includes bibliographical references (pages 317-347) and index
Notes
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
English
Print version record
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