Read more
Zusatztext ? a very useful addition to the shelf of anyone engaged in remote sensing image analysis. It is suitable for both students and practitioners.-Michael Collins!in GEOMATICA! Vol. 63! No. 4 Informationen zum Autor Paul Mather, Brandt Tso Klappentext Keeping abreast of new developments! this new edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. It provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees. Zusammenfassung 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. Inhaltsverzeichnis Remote Sensing in the Optical and Microwave Regions. Pattern Recognition Principles. Artificial Neural Networks. Support Vector Machines. Methods Based on Fuzzy Set Theory. Decision Trees. Texture Quantization. Modeling Context Using Markov Random Fields. Multisource Classification. Bibliography. Index.
List of contents
Remote Sensing in the Optical and Microwave Regions. Pattern Recognition Principles. Artificial Neural Networks. Support Vector Machines. Methods Based on Fuzzy Set Theory. Decision Trees. Texture Quantization. Modeling Context Using Markov Random Fields. Multisource Classification. Bibliography. Index.
Report
... a very useful addition to the shelf of anyone engaged in remote sensing image analysis. It is suitable for both students and practitioners.
-Michael Collins, in GEOMATICA, Vol. 63, No. 4
