Spectral imaging, also known as hyperspectral imaging, collects and processes information from across the electromagnetic spectrum. The raw data output is often visualized as a “datacube.” This can be thought of as a stack of tens to hundreds of pictures with each successive image representing its own specific color (spectral band), or equivalently, as a detailed spectral curve for each pixel. The purpose of spectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes.
Multivariate Image Analysis (ISBN 978-0471930013) gives the reader a sound understanding of the importance of, and the principles behind, multivariate image analysis.
Editors: Slobodan Sasic and Yukihiro Ozaki
Concentrating on the applications of chemical imaging, this book presents a thorough background on the theory, software, and hardware employed in this analytical technique.