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. Noise-equivalent spectral radiance (NESR) and other evaluation metrics are introduced and explained, providing a quantitative means of comparing systems. Finally, the course will review commonly used methods for data exploitation, surveys common algorithms used with spectral imaging data, and discusses their relative strengths and weaknesses. 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 - 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 - demonstrate common algorithms and data-exploitation techniques - synthesize new system designs - describe the distortions to spectral imaging data and how to compensate for them (atmospheric effects, optical aberrations, measurement artifacts) Instructor(s): Nathan 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, after which he worked as a postdoc at Duke University, a research scientist at Rice University, and directed system design and algorithm development at the startup Rebellion Photonics for five years. Being fluent in Japanese, in 2016 he joined the faculty of Utsunomiya University's new Optical Engineering department. Event: SPIE Optics + Photonics 2018 Course Held: 22 August 2018