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Daniel W. Stouch
Principal Software Engineer at Charles River Analytics Inc
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Publications (5)
Proceedings Article | 23 May 2011 Paper
Dynamic replanning on demand of UAS constellations performing ISR missions
Daniel Stouch, Ernest Zeidman, William Callahan, Kirk McGraw
Proceedings Volume 8045, 80450F (2011) https://doi.org/10.1117/12.883030
KEYWORDS: Unmanned aerial vehicles, Intelligence systems, Sensor performance, Genetics, Sensors, Geographic information systems, Optimization (mathematics), Genetic algorithms, Neodymium, Visualization
Proceedings Article | 21 May 2011 Paper
An agile acquisition decision-support workbench for evaluating ISR effectiveness
Daniel Stouch, Valerie Champagne, Christopher Mow, Brad Rosenberg, Joshua Serrin
Proceedings Volume 8060, 80600A (2011) https://doi.org/10.1117/12.883423
KEYWORDS: Intelligence systems, Sensors, Visualization, Analytical research, Surveillance, Visual analytics, Electro optical modeling, Reconnaissance, Target detection, Systems modeling
Proceedings Article | 22 April 2008 Paper
Multi-objective optimization to support mission planning for constellations of unmanned aerial systems
S. Tenenbaum, D. Stouch, K. McGraw, T. Fichtl
Proceedings Volume 6962, 696215 (2008) https://doi.org/10.1117/12.780618
KEYWORDS: Unmanned aerial vehicles, Genetic algorithms, Lawrencium, Sensors, Optimization (mathematics), Genetics, Sensor performance, Data modeling, Intelligence systems, Evolutionary algorithms
Proceedings Article | 16 September 2003 Paper
Estimating the ground plane in ladar three-dimensional imagery for target detection
Proceedings Volume 5094, (2003) https://doi.org/10.1117/12.485708
KEYWORDS: Image segmentation, Detection and tracking algorithms, LIDAR, Target detection, Target recognition, Image processing algorithms and systems, Automatic target recognition, 3D acquisition, Image processing, Computing systems
Proceedings Article | 16 September 2003 Paper
Mining vibrometry signatures to determine target separability
Proceedings Volume 5094, (2003) https://doi.org/10.1117/12.485709
KEYWORDS: Vibrometry, Feature extraction, Sensors, Automatic target recognition, Detection and tracking algorithms, Signal processing, Algorithm development, Mining, Motion measurement, Data mining
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