Remote Sensing Imagery Analysis and Classification

The aim of the book is to provide a survey of classification methodology for use with remotely sensed imagery. Besides describing traditional classification approaches, more advanced classification techniques, which use artificial neural networks and fuzzy theory, are introduced, and considerable space is devoted to the discussion of textural and contextural features. Some particular issues such as classification using multiple data sources, change detection, and the analysis of mixed pixels are also illustrated in detail. The book offers up to date the most complete reference for advanced classification in the field of remote sensing.