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Proceedings Paper

Image mapping spectrometry: a novel hyperspectral platform for rapid snapshot imaging
Author(s): Robert T. Kester; Noah Bedard; Tomasz S. Tkaczyk
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Paper Abstract

This paper presents the Image Mapping Spectrometry a new snapshot hyperspectral imaging platform for variety of applications. These applications span from remote sensing and surveillance use to life cell microscopy implementations and medical diagnostics. The IMS replaces the camera in a digital imaging system, allowing one to add parallel spectrum acquisition capability and to maximize the signal collection (> 80%). As such the IMS allows obtaining full spectral information in the image scene instantaneously at real time imaging rates. Presented implemention provides 350x350x48 datacube (x,y,λ) and spectral sampling of 2 to 6 nm in visible spectral range but is easily expandable to larger cube dimensions and other spectral ranges. The operation of the IMS is based on redirecting image zones through the use of a custom-fabricated optical element known as an image mapper. The image mapper is a complex custom optical component comprised of high quality, thin mirror facets with unique 2D tilts. These mirror facets reorganize the original image onto a single large format CCD sensor to create optically "dark" regions between adjacent image lines. The full spectrum from each image line is subsequently dispersed into the void regions on the CCD camera. This mapping method provides a one-to-one correspondence between each voxel in the datacube and pixel on the CCD camera requiring only a simple and fast remapping algorithm. This paper provides fundamentals of IMS operations and describes an example design. Preliminary imaging results for gas detection acquired at 3 frames / second, for 350x350x48 data cubes are being presented. Real time unmixing of spectral signatures is also being discussed. Finally paper draws perspective of future directions and system potential for infrared imaging.

Paper Details

Date Published: 20 May 2011
PDF: 6 pages
Proc. SPIE 8048, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, 80480J (20 May 2011); doi: 10.1117/12.884627
Show Author Affiliations
Robert T. Kester, Rice Univ. (United States)
Noah Bedard, Rice Univ. (United States)
Tomasz S. Tkaczyk, Rice Univ. (United States)


Published in SPIE Proceedings Vol. 8048:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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