About the book
Hyperspectral imaging is a spectroscopic imaging technique, which can generate either single or a time series of data cubes to yield insight into the spatial distribution of constitutive components in a spatial domain. Hence, the methodology can be used in multiple applications such as probing cellular processes in live cells, developing multiple biomedical imaging modalities, material characterizations, remote sensing, etc. Hyperspectral imaging can also take advantage of deep learning algorithms to retrieve valuable information from high-dimensional data in real-time. It is worth emphasizing that hyperspectral imaging is not limited to visible light. With other available excitation sources such as X-ray, electrons, etc. new hyperspectral imaging modalities can be extended to nanometer scales.
This book intends to bring together diverse research areas of hyperspectral imaging. We hope to provide the reader with a comprehensive overview of the current state-of-the-art in this fascinating and important field and make this book project a useful platform to allow all those working in hyperspectral imaging to be benefited from the knowledge of widely different fields.