Signal to Noise Ratio of a Coded Slit Hyperspectral Sensor

In recent years, a wide range of hyperspectral imaging systems using coded apertures have been proposed. Many implement compressive sensing to achieve faster acquisition of a hyperspectral data cube, but it is also potentially beneficial to use coded aperture imaging in sensors that capture full-ran...
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Autor*in:	Jonathan Piper [verfasserIn] Peter W. T. Yuen [verfasserIn] David James [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	hyperspectral imaging system coded aperture imaging Hadamard code

Übergeordnetes Werk:	In: Signals - MDPI AG, 2021, 3(2022), 4, Seite 752-764
Übergeordnetes Werk:	volume:3 ; year:2022 ; number:4 ; pages:752-764

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/signals3040045

Katalog-ID:	DOAJ082978409

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source	In Signals 3(2022), 4, Seite 752-764 volume:3 year:2022 number:4 pages:752-764
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format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	hyperspectral imaging system coded aperture imaging Hadamard code Applied mathematics. Quantitative methods
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callnumber-first	T - Technology
author	Jonathan Piper
spellingShingle	Jonathan Piper misc T57-57.97 misc hyperspectral imaging system misc coded aperture imaging misc Hadamard code misc Applied mathematics. Quantitative methods Signal to Noise Ratio of a Coded Slit Hyperspectral Sensor
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topic_title	T57-57.97 Signal to Noise Ratio of a Coded Slit Hyperspectral Sensor hyperspectral imaging system coded aperture imaging Hadamard code
topic	misc T57-57.97 misc hyperspectral imaging system misc coded aperture imaging misc Hadamard code misc Applied mathematics. Quantitative methods
topic_unstemmed	misc T57-57.97 misc hyperspectral imaging system misc coded aperture imaging misc Hadamard code misc Applied mathematics. Quantitative methods
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title	Signal to Noise Ratio of a Coded Slit Hyperspectral Sensor
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title_full	Signal to Noise Ratio of a Coded Slit Hyperspectral Sensor
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title_sort	signal to noise ratio of a coded slit hyperspectral sensor
callnumber	T57-57.97
title_auth	Signal to Noise Ratio of a Coded Slit Hyperspectral Sensor
abstract	In recent years, a wide range of hyperspectral imaging systems using coded apertures have been proposed. Many implement compressive sensing to achieve faster acquisition of a hyperspectral data cube, but it is also potentially beneficial to use coded aperture imaging in sensors that capture full-rank (non-compressive) measurements. In this paper we analyse the signal-to-noise ratio for such a sensor, which uses a Hadamard code pattern of slits instead of the single slit of a typical pushbroom imaging spectrometer. We show that the coded slit sensor may have performance advantages in situations where the dominant noise sources do not depend on the signal level; but that where Shot noise dominates a conventional single-slit sensor would be more effective. These results may also have implications for the utility of compressive sensing systems.
abstractGer	In recent years, a wide range of hyperspectral imaging systems using coded apertures have been proposed. Many implement compressive sensing to achieve faster acquisition of a hyperspectral data cube, but it is also potentially beneficial to use coded aperture imaging in sensors that capture full-rank (non-compressive) measurements. In this paper we analyse the signal-to-noise ratio for such a sensor, which uses a Hadamard code pattern of slits instead of the single slit of a typical pushbroom imaging spectrometer. We show that the coded slit sensor may have performance advantages in situations where the dominant noise sources do not depend on the signal level; but that where Shot noise dominates a conventional single-slit sensor would be more effective. These results may also have implications for the utility of compressive sensing systems.
abstract_unstemmed	In recent years, a wide range of hyperspectral imaging systems using coded apertures have been proposed. Many implement compressive sensing to achieve faster acquisition of a hyperspectral data cube, but it is also potentially beneficial to use coded aperture imaging in sensors that capture full-rank (non-compressive) measurements. In this paper we analyse the signal-to-noise ratio for such a sensor, which uses a Hadamard code pattern of slits instead of the single slit of a typical pushbroom imaging spectrometer. We show that the coded slit sensor may have performance advantages in situations where the dominant noise sources do not depend on the signal level; but that where Shot noise dominates a conventional single-slit sensor would be more effective. These results may also have implications for the utility of compressive sensing systems.
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title_short	Signal to Noise Ratio of a Coded Slit Hyperspectral Sensor
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