Zobrazeno 1 - 10
of 13
pro vyhledávání: '"DAISEI KONNO"'
Autor:
Jonathan Rameau, J. C. Curtis, Reynold J. Cooper, Matthew R. Marshall, D. D. Brown, Julia Speicher, Bogdan R. Cosofret, Forrest Otsuka, John Wright, Tenzing H. Y. Joshi, Eric Rappeport, Daisei Konno, Thomas Schmit
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 954:161128
The Mobile Urban Radiation Search (MURS) system was designed for real-time detection, identification and localization of radiological and nuclear sources during search missions in urban environments. The MURS system comprises an array of commercial s
Autor:
Shing Chang, Julia R. Dupuis, Bogdan R. Cosofret, William J. Marinelli, Daisei Konno, Mark G. Allen, Joel M. Hensley, Phillip A. Mulhall, Thomas Schmit
Publikováno v:
SPIE Proceedings.
The development of two longwave infrared quantum cascade laser (QCL) based surface contaminant detection platforms supporting government programs will be discussed. The detection platforms utilize reflectance spectroscopy with application to opticall
Publikováno v:
International Journal of High Speed Electronics and Systems. 18:349-367
In this paper we assess the effect that clustering pixels into spectrally-similar background types, for example, soil, vegetation, and water in hyperspectral visible/near-IR/SWIR imagery, prior to applying a detection methodology has on material dete
Publikováno v:
2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
The search and identification of radioactive sources using man-portable radiation detectors is an essential part of the mission carried out by first responders, law enforcement and military personnel. Current approaches use ad-hoc techniques based on
Publikováno v:
SPIE Proceedings.
The need for standoff detection technology to provide early Chem-Bio (CB) threat warning is well documented. Much of the information obtained by a single passive sensor is limited to bearing and angular extent of the threat cloud. In order to obtain
Improved detection and false alarm rejection for chemical vapors using passive hyperspectral imaging
Autor:
Rex K. Miyashiro, William J. Marinelli, Brad Perkins, Shing Chang, Christopher M. Gittins, Matt Farr, Daisei Konno
Publikováno v:
SPIE Proceedings.
Two AIRIS sensors were tested at Dugway Proving Grounds against chemical agent vapor simulants. The primary objectives of the test were to: 1) assess performance of algorithm improvements designed to reduce false alarm rates with a special emphasis o
Publikováno v:
SPIE Proceedings.
The standoff detection and discrimination of aerosolized biological and chemical agents has traditionally been addressed through LIDAR approaches, but sensor systems using these methods have yet to be deployed. We discuss the development and testing
Autor:
Shing Chang, Rex K. Miyashiro, Ian M. Konen, James O. Jensen, Tracy E. Janov, Aram Faghfouri, Mark J. Levreault, William J. Marinelli, Daisei Konno, Bogdan R. Cosofret, Christopher M. Gittins, Michael L. Finson
Publikováno v:
SPIE Proceedings.
The Range Test Validation System (RTVS) includes a constellation of five AIRIS-WAD standoff multispectral sensors oriented around a 1000×1000 meter truth box at a range of 2700 meters. Column density data derived from these sensors is transmitted in
Autor:
Tracy E. Janov, William J. Marinelli, Mark J. Levreault, Rex K. Miyashiro, Daisei Konno, Christopher M. Gittins, Michael L. Finson, Shin Chang, Bogdan R. Cosofret
Publikováno v:
SPIE Proceedings.
The AIRIS Wide Area Detector is an imaging multispectral sensor that has been successfully tested in both ground and airborne configurations for the detection of chemical and biological agent simulants. The sensor is based on the use of a Fabry-Perot