• Chein-I Chang


Hyperspectral imaging has emerged as a very promising versatile signal processing technique in remote sensing image processing for a wide range of applications, from traditional remote sensing areas such as geology, forestry, agriculture, and environmental monitoring to new found areas such as medical imaging and food safety and inspection. In particular, its great potential in new applications is yet to explore. However, in order for a hyperspectral imaging sensor to be useful, software design and development is key to its success. This is similar to a scenario where no matter how expensive and luxury a car is, without gas to drive it around this car can only stay to be exhibited in a showroom and cannot go anywhere. Accordingly, what gas is to a car is the same as what software is to a sensor. So, for a sensor to do what it is designed for, algorithm design and development is core to realizing the sensors. The author’s first book, Hyperspectral Imaging: Spectral Techniques for Detection and Classification (Chang 2003) is the first work with such intention to address this issue by focusing on hyperspectral imaging algorithm design for spectral detection and classification. It is then followed by the author’s second book, Hyperspectral Data Processing: Algorithm Design and Analysis (Chang 2013), which expands algorithm design and development to cover various applications in hyperspectral image and signal processing. This book can be considered as a sequel to these two books with the main theme of processing hyperspectral imagery progressively in real time. Finally, this book is complemented by a forthcoming companion book by the author, Recursive Hyperspectral Sample and Band Processing.


Hyperspectral Imaging Hyperspectral Data Progressive Process Pixel Purity Index Endmember Extraction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Science+Business Media, LLC 2016

Authors and Affiliations

  1. 1.BaltimoreUSA

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