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Hyperspectral Imaging, Volume 32 is a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of the applications in different scientific and industrial areas. The different application fields in which hyperspectral imaging has clearly demonstrated its advantages have bloomed in recent years. This book collects, for the first time, a comprehensive study of the main multivariate algorithms that have been used for hyperspectral image analysis in different fields of application. The benefits, drawbacks, and suitability of each are fully discussed, along with examples of applications.
Users will find state-of-the art information on the machinery for hyperspectral image acquisition, along with a critical assessment of the usage of hyperspectral imaging in diverse scientific fields.