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of 7
pro vyhledávání: '"Dale J. Smith"'
Autor:
Dale J. Smith, Neelam Gupta
Publikováno v:
Chemical and Biological Standoff Detection III.
A novel dual-band hyperspectral imager has been developed to collect 128-band hyperspectral image cubes simultaneously in both 4-5.25 μm (mid wave IR, MWIR) and 8-10.5 μm (long wave IR, LWIR) bands for both target detection and standoff detection o
Autor:
Heesung Kwon, Matthew Thielke, Neelam Gupta, Partick Rauss, Patti Gillespie, Dale J. Smith, Dalton Rosario, Nasser M. Nasrabadi
Recently, object detection based on hyperspectral sensors in support of autonomous robotics navigation has been of great interest. Hyperspectral sensors have been widely used for automatic target detection in military applications, mainly because a w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::021ab9889116b106ffa3230b55382c0e
https://doi.org/10.21236/ada485820
https://doi.org/10.21236/ada485820
Autor:
Neelam Gupta, Dale J. Smith
Publikováno v:
SPIE Proceedings.
A novel dual-band hyperspectral imaging system has been used to collect field test data for robotics vision applications. The imaging system can collect full scene hyperspectral images in both the long wave infrared (LWIR) band (8-10.5 μm) and the m
Autor:
Dale J. Smith, Edward Viveiros, Andree N. Filipov, Lorna J. Harrison, John M. Pellegrino, Eric D. Adler, Joseph van der Gracht, Tristan Jorge Tayag
Publikováno v:
SPIE Proceedings.
The maturation in the state-of-the-art of optical components is enabling increased applications for the technology. Most notable is the ever-expanding market for fiber optic data and communications links, familiar in both commercial and military mark
Publikováno v:
SPIE Proceedings.
Nonparametric estimation of lower-order statistics from higher-order statistics of continuous processes is considered. Of particular interest is estimation of correlations and spectra (second-order statistics) from higher-order correlations and polys
Publikováno v:
Optical Engineering. 31:2139
The relationships between lower and higher order cumulants of deterministic and random continuous signals are presented. This theory is used to develop time- and frequency-domain algorithms for the estimation of correlations (spectra) from triple cor
Conference
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