Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Patrick G. Heasler"'
Publikováno v:
Sensors, Vol 7, Iss 6, Pp 905-920 (2007)
Sensors; Volume 7; Issue 6; Pages: 905-920
Scopus-Elsevier
Sensors (Basel, Switzerland)
Sensors; Volume 7; Issue 6; Pages: 905-920
Scopus-Elsevier
Sensors (Basel, Switzerland)
This paper presents a nonlinear Bayesian regression algorithm for detecting and estimating gas plume content from hyper-spectral data. Remote sensing data, by its very nature, is collected under less controlled conditions than laboratory data. As a r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cc6afc12a8d3ffa8ac4bcfbe768dd70
https://doi.org/10.3390/s7060905
https://doi.org/10.3390/s7060905
Autor:
Marissa M. Reigel, Gregory F. Piepel, Michael J. Lindberg, Joseph H. Westsik, Erich K. Hansen, Russell E. Eibling, David J. Swanberg, William E. Daniel, Patrick G. Heasler, Theresa M. Mercier, Renee L. Russell, A. D. Cozzi
More than 56 million gallons of radioactive and hazardous waste are stored in 177 underground storage tanks at the U.S. Department of Energy’s (DOE’s) Hanford Site in southeastern Washington State. The Hanford Tank Waste Treatment and Immobilizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9af319a21e3b7f488ab1a06958ea14e4
https://doi.org/10.2172/1126363
https://doi.org/10.2172/1126363
Autor:
Benjamin E. Naes, Patrick G. Heasler, Christopher A. Barrett, David Willingham, Mindy M. Zimmer, R. Shane Addleman
Publikováno v:
Journal of Vacuum Science & Technology B, Nanotechnology and Microelectronics: Materials, Processing, Measurement, and Phenomena. 34:03H106
A novel approach to particle identification and particle isotope ratio determination has been developed for nuclear safeguard applications. This particle search approach combines an adaptive thresholding algorithm and marker-controlled watershed segm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d410f59838e311eeff149f25d44f385d
https://doi.org/10.1116/1.4940150
https://doi.org/10.1116/1.4940150
Autor:
Patrick G. Heasler
This report develops a random field model that describes gas plumes in LWIR remote sensing images. The random field model serves as a prior distribution that can be combined with LWIR data to produce a posterior that determines the probability that a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0cd5967975528b85ee5c3ec8cad1527
https://doi.org/10.2172/1133250
https://doi.org/10.2172/1133250
A wide variety of security problems hinge on the detection of threats and discrimination of threats from innocuous objects. The theory that frames these problems is common among medical diagnostics, radar and sonar imaging, and detection of radiologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::613c0bca9ea0c3089a37851d920a8cb7
https://doi.org/10.2172/1133254
https://doi.org/10.2172/1133254
This technical report describes a nonlinear Bayesian Regression model that can be used to estimate effuent concentrations from IR hyperspectral data. As the title implies, the model is constructed to account for background clutter more effectively th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b21b40fe25bd2e0254f120ca53803364
https://doi.org/10.2172/15010144
https://doi.org/10.2172/15010144
This report details work funded by the West Valley Support Project (WVSP) and the Tanks Focus Area Retrieval and Closure Program. The work was conducted by the Pacific Northwest National Laboratory (PNNL) and is in support of the West Valley Demonstr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29fa754c4f04b66343c620bc539f361c
https://doi.org/10.2172/15001230
https://doi.org/10.2172/15001230