Standoff Raman Hyperspectral Imaging Detection of Explosives

Treado, Patrick J.; Nelson, Matthew P.; Schweitzer, Bob; Gardner, Chuck; Wentworth, Rachel

doi:10.1364/lacsea.2008.lthb1

Cited by 3 publications

(1 citation statement)

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“…For our numerical experiments, we developed a test spectral image based on the spectra in 5 . The input intensity f is of size 256x256x64 and the sum (along the spectral dimension)…”

Section: Signal Processingmentioning

confidence: 99%

Snapshot Raman Spectral Imager

Guenther¹

2010

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Standard Form 298 (Rev. 8/98) REPORT DOCUMENTATION PAGEPrescribed by ANSI Std. Z39.18 Form Approved OMB No. 0704-0188The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.

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“…For our numerical experiments, we developed a test spectral image based on the spectra in 5 . The input intensity f is of size 256x256x64 and the sum (along the spectral dimension)…”

Section: Signal Processingmentioning

confidence: 99%

Snapshot Raman Spectral Imager

Guenther¹

2010

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Active LWIR hyperspectral imaging and algorithms for rapid standoff trace chemical identification

Breshike

Kendziora

Budack³

et al. 2019

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV

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Raman Imaging

Stewart

Priore

Nelson

et al. 2012

Annual Rev. Anal. Chem.

169

101

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The past decade has seen an enormous increase in the number and breadth of imaging techniques developed for analysis in many industries, including pharmaceuticals, food, and especially biomedicine. Rather than accept single-dimensional forms of information, users now demand multidimensional assessment of samples. High specificity and the need for little or no sample preparation make Raman imaging a highly attractive analytical technique and provide motivation for continuing advances in its supporting technology and utilization. This review discusses the current tools employed in Raman imaging, the recent advances, and the major applications in this ever-growing analytical field.

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Standoff Raman Hyperspectral Imaging Detection of Explosives

Cited by 3 publications

References 0 publications

Snapshot Raman Spectral Imager

Snapshot Raman Spectral Imager

Active LWIR hyperspectral imaging and algorithms for rapid standoff trace chemical identification

Raman Imaging

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