Hyperspectral Data Processing: Algorithm Design and Analysis

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Conclusions

Writing a comprehensive book on hyperspectral data processing is very challenging since new applications and developments emerge any time as time goes along. Accordingly, keeping track of this area becomes realistically impossible or formidable if it can be done. During the course of preparing this book, the table of contents has been constantly revised to meet this high demand. Eventually, an attempt to cover all topics in this area is not only impossible but also beyond reality. To this end, this book is aimed to narrowing its scope and coverage to the research which has been carried out in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County (UMBC), after my first book was published in 2003 (Chang, 2003a). Even in this case the materials to be included in this book also grow exponentially and exceed the original plan set for this book. To resolve this dilemma, several new interesting topics which are still ongoing and have potential in further development will not be discussed in this book; instead, they will be the main themes in my third book, entitled Real Time Hyperspectral Image Processing due to its publication by Springer-Verlag in 2013. Nevertheless, a brief review of these new topics will provide readers with a quick glimpse and also offer a peek at this cutting-edge research in this area. A second part of this final chapter is included to serve this purpose. The first part of this chapter ...