
Computational reconfigurable imaging spectrometer
Author(s) -
Ryan M. Sullenberger,
Adam B. Milstein,
Yaron Rachlin,
Sumanth Kaushik,
Charles M. Wynn
Publication year - 2017
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.25.031960
Subject(s) - hyperspectral imaging , spectrometer , optics , imaging spectrometer , full spectral imaging , cardinal point , spectral imaging , pixel , computer science , demodulation , physics , telecommunications , artificial intelligence , channel (broadcasting)
We demonstrate a novel hyperspectral imaging spectrometer based on computational imaging that enables sensitive measurements from smaller, noisier, and less-expensive components (e.g. uncooled microbolometers), making it useful for applications such as small space and air platforms with strict size, weight, and power requirements. The computational reconfigurable imaging spectrometer (CRISP) system exploits platform motion and a spectrally coded focal-plane mask to temporally modulate the optical spectrum, enabling simultaneous measurement of multiple spectral bins. Demodulation of this coded pattern returns an optical spectrum in each pixel.