Single-pixel optical sensing architecture for compressive hyperspectral imaging

Compressive hyperspectral imaging systems (CSI) capture the threedimensional (3D) information of a scene by measuring two-dimensional (2D) coded projections in a Focal Plane Array (FPA). These projections are then exploited by means of an optimization algorithm to obtain an estimation of the underly...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Hoover Fabián Rueda-Chacón [verfasserIn] Cesar Augusto Vargas-García [verfasserIn] Henry Arguello-Fuentes [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	hyperspectral imaging compressive sensing optical imaging coded aperture-based systems single-pixel detector

Übergeordnetes Werk:	In: Revista Facultad de Ingeniería Universidad de Antioquia - Universidad de Antioquia, 2023, (2014), 73
Übergeordnetes Werk:	year:2014 ; number:73

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.17533/udea.redin.17312

Katalog-ID:	DOAJ08764150X

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callnumber-first	T - Technology
author	Hoover Fabián Rueda-Chacón
spellingShingle	Hoover Fabián Rueda-Chacón misc TA1-2040 misc hyperspectral imaging misc compressive sensing misc optical imaging misc coded aperture-based systems misc single-pixel detector misc Engineering (General). Civil engineering (General) Single-pixel optical sensing architecture for compressive hyperspectral imaging
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topic_title	TA1-2040 Single-pixel optical sensing architecture for compressive hyperspectral imaging hyperspectral imaging compressive sensing optical imaging coded aperture-based systems single-pixel detector
topic	misc TA1-2040 misc hyperspectral imaging misc compressive sensing misc optical imaging misc coded aperture-based systems misc single-pixel detector misc Engineering (General). Civil engineering (General)
topic_unstemmed	misc TA1-2040 misc hyperspectral imaging misc compressive sensing misc optical imaging misc coded aperture-based systems misc single-pixel detector misc Engineering (General). Civil engineering (General)
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title	Single-pixel optical sensing architecture for compressive hyperspectral imaging
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title_full	Single-pixel optical sensing architecture for compressive hyperspectral imaging
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title_sort	single-pixel optical sensing architecture for compressive hyperspectral imaging
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title_auth	Single-pixel optical sensing architecture for compressive hyperspectral imaging
abstract	Compressive hyperspectral imaging systems (CSI) capture the threedimensional (3D) information of a scene by measuring two-dimensional (2D) coded projections in a Focal Plane Array (FPA). These projections are then exploited by means of an optimization algorithm to obtain an estimation of the underlying 3D information. The quality of the reconstructions is highly dependent on the resolution of the FPA detector, which cost grows exponentially with the resolution. High-resolution low-cost reconstructions are thus desirable. This paper proposes a Single Pixel Compressive Hyperspectral Imaging Sensor (SPHIS) to capture and reconstruct hyperspectral images. This optical architecture relies on the use of multiple snapshots of two timevarying coded apertures and a dispersive element. Several simulations with two different databases show promising results as the reliable reconstruction of a hyperspectral image can be achieved by using as few as just the 30% of its voxels.
abstractGer	Compressive hyperspectral imaging systems (CSI) capture the threedimensional (3D) information of a scene by measuring two-dimensional (2D) coded projections in a Focal Plane Array (FPA). These projections are then exploited by means of an optimization algorithm to obtain an estimation of the underlying 3D information. The quality of the reconstructions is highly dependent on the resolution of the FPA detector, which cost grows exponentially with the resolution. High-resolution low-cost reconstructions are thus desirable. This paper proposes a Single Pixel Compressive Hyperspectral Imaging Sensor (SPHIS) to capture and reconstruct hyperspectral images. This optical architecture relies on the use of multiple snapshots of two timevarying coded apertures and a dispersive element. Several simulations with two different databases show promising results as the reliable reconstruction of a hyperspectral image can be achieved by using as few as just the 30% of its voxels.
abstract_unstemmed	Compressive hyperspectral imaging systems (CSI) capture the threedimensional (3D) information of a scene by measuring two-dimensional (2D) coded projections in a Focal Plane Array (FPA). These projections are then exploited by means of an optimization algorithm to obtain an estimation of the underlying 3D information. The quality of the reconstructions is highly dependent on the resolution of the FPA detector, which cost grows exponentially with the resolution. High-resolution low-cost reconstructions are thus desirable. This paper proposes a Single Pixel Compressive Hyperspectral Imaging Sensor (SPHIS) to capture and reconstruct hyperspectral images. This optical architecture relies on the use of multiple snapshots of two timevarying coded apertures and a dispersive element. Several simulations with two different databases show promising results as the reliable reconstruction of a hyperspectral image can be achieved by using as few as just the 30% of its voxels.
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title_short	Single-pixel optical sensing architecture for compressive hyperspectral imaging
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