Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Darrell L. Young"'
Publikováno v:
2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
Autor:
Christopher Eccles, Darrell L. Young
Publikováno v:
Geospatial Informatics X.
Recent breakthroughs in deep net processing have shown the ability to compute solutions to physics-based problems such as the three-body problem many orders-of-magnitude times faster. In this paper, we show how a deep autoencoder, trained on paths ge
Autor:
Chris Eccles, Darrell L. Young
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II.
This paper describes our current multi-agent reinforcement learning concepts to complement or replace classic operational planning techniques. A neural planner is used to generate many possible paths. Training of the neural planner is a onetime task
Autor:
Darrell L. Young
Publikováno v:
AIPR
The need for increased global surveillance and enforcement efforts to combat Illegal, Unreported, Unregulated (IUU) fishing is well known. This paper describes the current research status in developing a novel technique of associating Automated Ident
Autor:
Darrell L. Young
Publikováno v:
Geospatial Informatics IX.
Sustainment of fishing stocks can be accomplished by reducing illegal fishing. Enforcement requires timely intelligence. Often the perpetrators escape the enforcement zone to meet up with the fish buyers at sea where they conduct illegal transactions
Autor:
Davis A. Lange, Darrell L. Young, Daniel J. Henry, Dale C. Linne von Berg, Gregory J. Gosian, Thomas J. Walls
Publikováno v:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XIII.
Autor:
Darrell L. Young
Publikováno v:
SPIE Proceedings.
The advancement in video compression technology can result in more sensitivity to bit errors. Bit errors can propagate causing sustained loss of interpretability. In the worst case, the decoder "freezes" until it can re-synchronize with the stream. D
Autor:
Darrell L. Young
Publikováno v:
AIPR
Video bit errors or missing packets can result in freezing or distortion causing a severe loss of interpretability. Resilience options can mitigate the error propagation that occurs due to the spatial and temporal dependencies in the compressed bit s
Autor:
Darrell L. Young, Daniel J. Henry, S. Danny Rajan, Thomas J. Walls, Davis A. Lange, Dale C. Linne von Berg
Publikováno v:
SPIE Proceedings.
Autor:
Charles Li, Darrell L. Young
Publikováno v:
SPIE Proceedings.
Measured indicators such as resolution, blur, noise and artifact estimates are used to predict video interpretability. The indicators show the effect of compression, lost packets, and enhancements. The indicators and metadata-derived resolution can a