Zobrazeno 1 - 10
of 15
pro vyhledávání: '"John C. Mossing"'
Autor:
David J. Pikas, Joshua Blackburn, Edmund G. Zelnio, Adam Nolan, John U. Sherwood, John C. Mossing, Timothy D. Ross
Publikováno v:
SPIE Proceedings.
The target classification algorithm community is making a special effort to explicitly treat operating conditions (OCs) in classifier assessments and performance modeling. This is necessary because humans do not intuitively appreciate what makes clas
Publikováno v:
SPIE Proceedings.
Reliance on Automated Target Recognition (ATR) technology is essential to the future success of Intelligence, Surveillance, and Reconnaissance (ISR) missions. Although benefits may be realized through ATR processing of a single data source, fusion of
Publikováno v:
Signal Processing, Sensor Fusion, and Target Recognition XII.
The Deputy Under Secretary of Defense for Science and Technology (DUSD/S&T), as part of their ongoing ATR Program, has sponsored an effort to develop and demonstrate methods for evaluating ATR algorithms that utilize multiple data sources, i.e., fusi
Publikováno v:
Algorithms for Synthetic Aperture Radar Imagery IX.
The AFRL COMPASE Center has developed and applied a disciplined methodology for the evaluation of recognition systems. This paper explores an element of that methodology related to the confusion matrix as a tabulation of experiment outcomes and its c
Publikováno v:
Algorithms for Synthetic Aperture Radar Imagery IX.
Commercial availability of very high-resolution synthetic aperture radar (SAR) imagery will enable development of automatic target recognition (ATR) algorithms to exploit its rich information content. This availability also permits exploration of bot
Publikováno v:
SPIE Proceedings.
Reliance on Automated Target Recognition (ATR) technology is essential to the future success of Intelligence, Surveillance, and Reconnaissance (ISR) missions. Although benefits may be realized through ATR processing of a single data source, fusion of
Publikováno v:
SPIE Proceedings.
Early in almost every engineering project, a decision must be made about tools; should I buy off-the-shelf tools or should I develop my own. Either choice can involve significant cost and risk. Off-the-shelf tools may be readily available, but they c
Autor:
Bruce Merle, Robert Reynolds, Charles Sadowski, Annette Bergman, Francis J. Corbett, Robert A. Hummel, Douglas Hugo, John M. Irvine, S. A. Morrison, Katherine M. Simonson, Donna Meredith, Thomas J. Wild, John C. Mossing, Louis Otto, Lori A. Westerkamp, Bruce J. Schachter, David A. Castanon, Randy K. Avent, Arthur Bruckheim, Clarence P. Walters, Gene Smit
Publikováno v:
SPIE Proceedings.
In November of 2000, the Deputy Under Secretary of Defense for Science and Technology Sensor Systems (DUSD (S&T/SS)) chartered the ATR Working Group (ATRWG) to develop guidelines for sanctioned Problem Sets. Such Problem Sets are intended for develop
Autor:
John C. Mossing, Timothy D. Ross
Publikováno v:
Algorithms for Synthetic Aperture Radar Imagery VI.
MSTAR is a SAR ATR exploratory development effort and has devoted significant resources to regular independent evaluations. This paper will review the current state of the MSTAR evaluation methodology. The MSTAR evaluations have helped bring into foc
Autor:
John C. Mossing, Timothy D. Ross
Publikováno v:
SPIE Proceedings.
Testing a SAR Automatic Target Recognition (ATR) algorithm at or very near its training conditions often yields near perfect results as we commonly see in the literature. This paper describes a series of experiments near and not so near to ATR algori