Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Mark L. Yee"'
Autor:
Mark L. Yee, David P. Casasent
Publikováno v:
Applied optics. 33(29)
We consider multitarget tracking, estimating the state vector (two-dimensional position and velocity) of each target from physical measurements. We consider a full system for this and the role for analog optical processing within its subsystems. We e
Publikováno v:
44th Annual 2010 IEEE International Carnahan Conference on Security Technology.
A major goal of next-generation physical protection systems is to extend defenses far beyond the usual outer-perimeter-fence boundaries surrounding protected facilities. Mitigation of nuisance alarms is among the highest priorities. A solution to thi
During the past several years, there has been a growing recognition of the threats posed by the use of shallow tunnels against both international border security and the integrity of critical facilities. This has led to the development and testing of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::211a6b4ebef3393a80825a669469fbf8
https://doi.org/10.2172/984150
https://doi.org/10.2172/984150
Autor:
Adele Beatrice Doser, D.C. Craft, William T. O'Rourke, Hung D. Nguyen, Mark L. Yee, Megan Elizabeth. Slinkard
Publikováno v:
Unattended Ground Sensor Technologies and Applications VII.
This study developed a distributed vehicle target detection and estimation capability using two algorithmic approaches designed to take advantage of the capabilities of networked sensor systems. The primary interest was on small, quiet vehicles, such
Autor:
Amy A. Yee, Mark L. Yee
Publikováno v:
SPIE Proceedings.
A new algorithm for automatic detection of mines using a vehicle-mounted metal detector is detailed and demonstrated in this paper. The sensor is the Vallon VMV 16 vehicle- mounted array on the Mine Hunter/Killer (MH/K) system; data were collected at
Autor:
Mark L. Yee
Publikováno v:
SPIE Proceedings.
In this paper, probabilistic fusion of multi-sensor data is applied to mine detection. Probabilistic fusion combines information in the form of scores from automatic target recognition (ATR) algorithms for each sensor. This fusion method has previous
Publikováno v:
SPIE Proceedings.
In this paper, a statistical technique for multi-sensor data fusion is applied to countermine problems. The fusion method has previously been shown to be a powerful tool in SAR/ATR applications. An earlier study, using data from the separate x, y and
Publikováno v:
SPIE Proceedings.
Accurate estimation of the depth of partial-thickness burns and the early prediction of a need for surgical intervention are difficult. A non-invasive technique utilizing the difference in thermal relaxation time between burned and normal skin may be
Publikováno v:
SPIE Proceedings.
Real-time gray-scale correlation in the spatial domain has been demonstrated previously using an acousto-optical (AO) correlator. This work demonstrates normalized gray-scale correlation as implemented on an AO correlator system capable of operating