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Miniature Computer-Tomography-imagin...

Zhou, Wei.

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Miniature Computer-Tomography-imaging-spectrometer.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Miniature Computer-Tomography-imaging-spectrometer./
Author:	Zhou, Wei.
Description:	127 p.
Notes:	Adviser: James Leger.
Contained By:	Dissertation Abstracts International68-11B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3289177
ISBN:	9780549328070

Miniature Computer-Tomography-imaging-spectrometer.
Zhou, Wei.

Miniature Computer-Tomography-imaging-spectrometer. - 127 p.

Adviser: James Leger.

Thesis (Ph.D.)--University of Minnesota, 2007.

A novel design methodology for the miniature imaging spectrometer has been demonstrated. The Computer-Tomography detection scheme is applied because of its inherently large etendue and snap-shot function. As opposed to the traditional CTIS design that employs only one dispersive element to generate all different spectral and spatial information mixing, the idea of independent information collection and multiple-channel array structure is introduced. Based on this idea our design will not only achieve a very compact sensor structure for limited system aperture size, but also dramatically reduce the alignment and assembly difficulty compared with other micro imaging spectrometers.

ISBN: 9780549328070Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Miniature Computer-Tomography-imaging-spectrometer.
LDR:02676nam 2200325 a 45 001 947963
005 20110524
008 110524s2007 ||||||||||||||||| ||eng d
020 $a 9780549328070
035 $a (UMI)AAI3289177
035 $a AAI3289177
040 $a UMI $c UMI
100 1 $a Zhou, Wei. $3 1064868
245 1 0 $a Miniature Computer-Tomography-imaging-spectrometer.
300 $a 127 p.
500 $a Adviser: James Leger.
500 $a Source: Dissertation Abstracts International, Volume: 68-11, Section: B, page: 7579.
502 $a Thesis (Ph.D.)--University of Minnesota, 2007.
520 $a A novel design methodology for the miniature imaging spectrometer has been demonstrated. The Computer-Tomography detection scheme is applied because of its inherently large etendue and snap-shot function. As opposed to the traditional CTIS design that employs only one dispersive element to generate all different spectral and spatial information mixing, the idea of independent information collection and multiple-channel array structure is introduced. Based on this idea our design will not only achieve a very compact sensor structure for limited system aperture size, but also dramatically reduce the alignment and assembly difficulty compared with other micro imaging spectrometers.
520 $a By combining diffractive, refractive and graded-index (GRIN) optics into single optical element, every information channel consists of three quarter-pitch GRIN lenses (diameter of 250um) with an on-axis dispersion imaging function. By rotating the information channel to arbitrary azimuthal directions along the optical axis, different dispersion mixing is introduced to the same object's image. This scheme provides the freedom of increasing information channels for higher spectral resolution.
520 $a One miniature CTIS sensor was designed with 16 information channels in a 1mm x 1mm x 2mm cube. A single channel was fabricated and tested. A Focused-Ion-Beam Etch method was employed to directly fabricate the grating on the cylinder GRIN lens. A simple but efficient hyper-spectral information reconstruction algorithm was built up and successfully tested with NASA AVIRIS satellite hyperspectral data. The designed sensor performance was tested with different polychromatic objects.
590 $a School code: 0130.
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
710 2 $a University of Minnesota. $b Electrical Engineering. $3 1018776
773 0 $t Dissertation Abstracts International $g 68-11B.
790 $a 0130
790 1 0 $a Akkin, Tanner $e committee member
790 1 0 $a Gopinath, Anand $e committee member
790 1 0 $a Leger, James, $e advisor
790 1 0 $a Talghader, Joseph $e committee member
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3289177