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- Title
Computational spectrometers enabled by nanophotonics and deep learning.
- Authors
Gao, Li; Qu, Yurui; Wang, Lianhui; Yu, Zongfu
- Abstract
The unknown HT <math overflow="scroll" xmlns="http://www.w3.org/1998/Math/MathML"><mi>I</mi><mo>(</mo><mi> </mi><mo>)</mo></math> ht can be recovered by multiple computation algorithms (discussed in the next section). Therefore, for spectral sensing, a single spectrometer can perform a single spectrum HT <math overflow="scroll" xmlns="http://www.w3.org/1998/Math/MathML"><mi>I</mi><mo>(</mo><mi> </mi><mo>)</mo></math> ht reconstruction. Therefore, for spectral imaging, a data cube HT <math overflow="scroll" xmlns="http://www.w3.org/1998/Math/MathML"><mi>I</mi><mo>(</mo><mi> </mi><mo>,</mo><mi>x</mi><mo>,</mo><mi>y</mi><mo>)</mo></math> ht with both spectral and spatial information can be reconstructed. The unknown HT <math overflow="scroll" xmlns="http://www.w3.org/1998/Math/MathML"><mrow><msub><mi>I</mi><mn>1</mn><mo>×</mo><mi>n</mi></msub></mrow></math> ht can be solved numerically. The measured signal HT <math overflow="scroll" xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>S</mi><mi>i</mi></msub></math> ht is collected by the photodetector array.
- Subjects
HYPERSPECTRAL imaging systems; DEEP learning; NANOWIRE devices; SPECTROMETERS; OPTICAL computing; NANOPHOTONICS; LIQUID crystal devices; DICHROIC filters
- Publication
Nanophotonics (21928606), 2022, Vol 11, Issue 11, p2507
- ISSN
2192-8606
- Publication type
Article
- DOI
10.1515/nanoph-2021-0636