Imaging Spectrometry

Level: Intermediate Length: 4 hours Format: In-Person Lecture Intended Audience: This course is intended for engineers, scientists, and program managers interested in a full summary of imaging spectrometry. Anyone looking at recent advances in design and data-exploitation techniques can benefit from this practical tutorial. To benefit maximally from this course, attendees should be familiar with the materials covered in SPIE SC040, Gratings, Monochromators, and Spectrometers, or equivalent. Description: This course covers the design and analysis of imaging spectrometers, from instrumentation to evaluation and data exploitation. After surveying the fundamentals of spectral imaging, the course provides a detailed survey of various implementations of imaging spectrometers and the benefits of each approach, with special attention to snapshot systems. Performance tradeoffs of noise, light collection capacity, robustness, and other evaluation metrics are introduced and explained, providing a quantitative means of comparing systems. Finally, the course reviews several commonly used algorithms for spectral imaging data and spectral classification, drawing examples from target tracking, infrared gas cloud imaging, and biological fluorescence imaging. Learning Outcomes: This course will enable you to: - explain spectrometry and imaging spectrometry fundamentals from the perspective of the (x,y,λ) datacube (a.k.a. hypercube) - describe conventional grating, echelle grating, Fabry-Perot, coded-aperture, and imaging Fourier-transform spectrometers - describe unconventional spectral sensing technologies - explain the Jacquinot, Fellgett, and Snapshot advantages - compare representative imaging-spectrometers - evaluate the sensitivity of a spectrometer quantitatively - analyze radiometric tradeoffs and the effects of signal-dependent and signal-independent noises - synthesize new system designs - demonstrate common spectral-imaging algorithms - use spectral correlations to perform spectral-based object tracking - describe how spectral information is used to perform infrared gas sensing and biological fluorescence imaging Instructor(s): Nathan A. Hagen has been designing and working with imaging spectrometers since 2002, and specializes in combining algorithm development with snapshot spectral imaging system design. He graduated with a PhD from the University of Arizona in Optical Sciences in 2007, and directed system design and algorithm development at the successful startup Rebellion Photonics for five years. Being fluent in Japanese, in 2016 he joined the faculty of Utsunomiya University's newly formed Optical Engineering department, where he is now the Department Head. Event: SPIE Optics + Photonics 2024 Course Held: 18 August 2024