Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Peter L. Rynes"'
Publikováno v:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXI.
The emergence of machine learning into scientific fields has created opportunities for novel and powerful image processing techniques. Algorithms that can perform complex tasks without a “man-in-the-loop” or explicit instructions are invaluable a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c103319b85ca4ee3e12e238a29da498f
https://doi.org/10.1117/12.2558843
https://doi.org/10.1117/12.2558843
Autor:
Mark A. Hepokoski, Derrick S. Levanen, Peter L. Rynes, Corey D. Packard, Mark D. Klein, Duncan L. Karnitz, David M. Less
Publikováno v:
Target and Background Signatures IV.
The ability to accurately predict electro-optical signatures for high-value targets in an outdoor scene is a tremendous asset for defense agencies. In the thermal infrared wavebands, physical temperature is the primary contributor to imager-detected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c18a36fd43a626f650dcece8a36c4c46
https://doi.org/10.1117/12.2323821
https://doi.org/10.1117/12.2323821
Publikováno v:
SPIE Proceedings.
Algorithms for retrieval of surface reflectance, emissivity or temperature from a spectral image almost always assume uniform illumination across the scene and horizontal surfaces with Lambertian reflectance. When these algorithms are used to process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c72649f1f68c75947a781e27a673186
https://doi.org/10.1117/12.2224115
https://doi.org/10.1117/12.2224115
Publikováno v:
SPIE Proceedings.
Accurate infrared signature prediction of targets, such as humans or ground vehicles, depends primarily on the realistic prediction of physical temperatures. Thermal model development typically requires a geometric description of the target (i.e., a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bfd4c25686ac62be6644a1585c1333a
https://doi.org/10.1117/12.2177310
https://doi.org/10.1117/12.2177310
Autor:
Allen Curran, Peter L. Rynes
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed2d0177efc54a28035df2ffba66dcab
https://doi.org/10.4271/2008-01-2273
https://doi.org/10.4271/2008-01-2273
Publikováno v:
SPIE Proceedings.
The objective of this work is to explore the consequences of using present-time-only data for infrared signature predictions on tracked vehicles, and to quantify the error that is introduced by this steady state analysis approach. The paper will focu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23cfc7d4bc386fb801dee09d5889f19b
https://doi.org/10.1117/12.665893
https://doi.org/10.1117/12.665893
Ground target infrared signature modeling with the multiservice electro-optic signature (MuSES) code
Publikováno v:
Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process.
With an increased reliance on modeling and simulation in the defense community a requirement has developed for improved ground target infrared signature prediction capabilities. Predictive ground target infrared signature modeling has traditionally b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ad3f4d8d617d908f3155ed9cd934f8d
https://doi.org/10.1117/12.392527
https://doi.org/10.1117/12.392527
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bca06e3ec73db5ff61263fb546ed6fe8
https://doi.org/10.4271/951012
https://doi.org/10.4271/951012
Conference
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