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This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. This book can be considered a companion book of author's books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016.
Focusing on the architecture and implementation of algorithms, this volume presents real-time and causal processing implementation, as well as architectures of FPGA design and parallel processing. Readers will find coverage of applications to both imaging and medical imaging.
Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County.
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