Video-rate chemical identification and visualization with snapshot hyperspectral imaging

2012 ◽  
Author(s):  
Andrew Bodkin ◽  
A. Sheinis ◽  
A. Norton ◽  
J. Daly ◽  
C. Roberts ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Chemical Identification

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

2019 ◽  
Author(s):  
Christopher J. Breshike ◽  
Christopher A. Kendziora ◽  
Norman Budack ◽  
Yohan Yoon ◽  
Robert Furstenberg ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Chemical Identification

A General Method for Spectrometer Design in the Scoff Approximation

1976 ◽  
Vol 34 ◽  
pp. 538-539
Author(s):  
J. R. Fields
Keyword(s):  
Electron Microscope ◽  
Transmission Electron Microscope ◽  
Energy Analysis ◽  
Incident Beam ◽  
Scanning Transmission Electron Microscope ◽  
Chemical Identification ◽  
Scanning Transmission Electron ◽  
Transmission Electron ◽  
Scanning Transmission ◽  
General Method

The energy analysis of electrons scattered by a specimen in a scanning transmission electron microscope can improve contrast as well as aid in chemical identification. In so far as energy analysis is useful, one would like to be able to design a spectrometer which is tailored to his particular needs. In our own case, we require a spectrometer which will accept a parallel incident beam and which will focus the electrons in both the median and perpendicular planes. In addition, since we intend to follow the spectrometer by a detector array rather than a single energy selecting slit, we need as great a dispersion as possible. Therefore, we would like to follow our spectrometer by a magnifying lens. Consequently, the line along which electrons of varying energy are dispersed must be normal to the direction of the central ray at the spectrometer exit.

Hyperspectral Imaging Remote Sensing

2016 ◽  
Author(s):  
Dimitris Manolakis ◽  
Ronald Lockwood ◽  
Thomas Cooley
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Imaging

Hyperspectral Imaging for Beef Tenderness Assessment

2015 ◽  
Vol 2 (2) ◽  
pp. 18-25 ◽  
Author(s):  
M. Ngadi ◽  
◽  
F. Saadatian ◽  
L. Liu
Keyword(s):  
Hyperspectral Imaging ◽  
Beef Tenderness

A Supervised Learning Approach for Dynamic Sampling (SLADS) in Raman Hyperspectral Imaging

2018 ◽  
Vol 2018 (15) ◽  
pp. 132-1-1323
Author(s):  
Shijie Zhang ◽  
Zhengtian Song ◽  
G. M. Dilshan P. Godaliyadda ◽  
Dong Hye Ye ◽  
Atanu Sengupta ◽  
...  
Keyword(s):  
Supervised Learning ◽  
Hyperspectral Imaging ◽  
Learning Approach ◽  
Dynamic Sampling

Airborne Hyperspectral Imaging of Laurentian Great Lakes: Operational Challenges

2010 ◽  
Author(s):  
John Lekki ◽  
R. Anderson ◽  
Q.-V. Nguyen ◽  
J. Demers ◽  
J. Flatico ◽  
...  
Keyword(s):  
Great Lakes ◽  
Hyperspectral Imaging ◽  
Laurentian Great Lakes

Coordinated Hyperspectral Imaging Nano-Satellite Networks for Space Situational Awareness

2011 ◽  
Author(s):  
John McInroy ◽  
Suresh Muknahallipatna ◽  
Margareta Stefanovic ◽  
Farhad Jafari
Keyword(s):  
Hyperspectral Imaging ◽  
Situational Awareness ◽  
Satellite Networks ◽  
Space Situational Awareness
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