Zobrazeno 1 - 10
of 35
pro vyhledávání: '"John H. Gruninger"'
Publikováno v:
Imaging Spectrometry XXII: Applications, Sensors, and Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb05759b576e34d3ab0e00290230986c
https://doi.org/10.1117/12.2321712
https://doi.org/10.1117/12.2321712
Autor:
H. Dothe, John H. Gruninger
Publikováno v:
REV Journal on Electronics and Communications. 4
This paper presents a new factorization technique for hyperspectral signal processing based on a constrained singular value decomposition (SVD) approach. Hyperpectral images typically have a large number of contiguous bands that are highly correlated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b047950e2e8a1d89364f34dceb8185d
https://doi.org/10.21553/rev-jec.68
https://doi.org/10.21553/rev-jec.68
Autor:
John H. Gruninger, H. Dothe
Publikováno v:
WHISPERS
This paper presents a new factorization approach for hyperspectral data based on non-negativity constraints. The method does not assume a one to one correspondence between the pseudo-rank of the data matrix and the number of unique components present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aee3a1438e3ca346c697bd1c1d6ff7fb
https://doi.org/10.1109/whispers.2014.8077598
https://doi.org/10.1109/whispers.2014.8077598
Publikováno v:
Advances in Space Research. 19:571-574
Infrared radiance fluctuations in the atmosphere result from fluctuations in the density of atmospheric species, individual molecular state populations, and kinetic temperatures along the sensor line of sight (LOS). As part of the SHARC-4 development
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af2a1dffe07be298c16ff9df30f26ad1
https://doi.org/10.1016/s0273-1177(97)00174-9
https://doi.org/10.1016/s0273-1177(97)00174-9
Autor:
John H. Gruninger, H. Dothe
Publikováno v:
SPIE Proceedings.
Singular value decomposition (SVD) and principal component analysis enjoy a broad range of applications, including, rank estimation, noise reduction, classification and compression. The resulting singular vectors form orthogonal basis sets for subspa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb457fb6b20838debe4b816ea52238f5
https://doi.org/10.1117/12.2029250
https://doi.org/10.1117/12.2029250
Autor:
James H. Brown, R. J. Healey, Lawrence S. Bernstein, R. D. Sharma, Steven M. Adler-Golden, Michael W. Matthew, John H. Gruninger, J. W. Duff, Robert Sundberg, David C. Robertson
Publikováno v:
The Upper Mesosphere and Lower Thermosphere: A Review of Experiment and Theory
A new computer model, SHARC, has been developed by the Air Force for calculating high-altitude atmospheric IR radiance and transmittance spectra with a resolution of better than 1/cm. Comprehensive coverage of the 2 to 40 microns (250/cm to 5,000/cm)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::199932ff9f02bc142082434539d23276
https://doi.org/10.1029/gm087p0287
https://doi.org/10.1029/gm087p0287
Publikováno v:
SPIE Proceedings.
This paper presents results that demonstrate the auroral modeling capabilities of the Air Force Research Laboratory (AFRL) SAMM2 (SHARC And MODTRAN® Merged 2) radiance code. A scene generation capability is obtained by coupling SAMM2 with a recently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9905de474a10c962212cd0041f9854d
https://doi.org/10.1117/12.834043
https://doi.org/10.1117/12.834043
Publikováno v:
AIP Conference Proceedings.
This paper reviews the capabilities of SAMM2, a high‐fidelity background radiance code. SAMM2 incorporates atmospheric climate and chemistry, line‐of‐sight geometry, spectroscopy and radiation transport into a unified and extensible code. It is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93ff7aa4b98fada8f7079cc72f2420ee
https://doi.org/10.1063/1.3117077
https://doi.org/10.1063/1.3117077
Publikováno v:
SPIE Proceedings.
Subspace methods for hyperspectral imagery enable detection and identification of targets under unknown environmental conditions (i.e., atmospheric, illumination, surface temperature, etc.) by specifying a subspace of possible target spectral signatu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce5de82a3354003ec2005fe0ae3a9eb8
https://doi.org/10.1117/12.776252
https://doi.org/10.1117/12.776252
Publikováno v:
IGARSS (2)
Subspace methods for hyperspectral imagery enable detection and identification of targets under unknown environmental conditions by specifying a subspace of possible target spectral signatures (and, optionally, a background subspace) and identifying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3356970cba9a489fe9015cfc70484082
https://doi.org/10.1109/igarss.2008.4779029
https://doi.org/10.1109/igarss.2008.4779029