28 April 2010 Geospatial feature based automatic target recognition (ATR) using data models
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Proceedings Volume 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX; 76971B (2010); doi: 10.1117/12.863705
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States
Abstract
We present a method for deriving an automatic target recognition (ATR) system using geospatial features and a Data Model populated decision architecture in the form of a self-organizing knowledge base. The goal is to derive an ATR that recognizes targets it has seen before while minimizing false alarms (zero false alarms). We present an investigation of the performance of analytical Data Models as a sensor and data fusion process for automatic target recognition (ATR), and summarize results including on a 2 km background run where no false alarms were encountered.
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Holger Jaenisch, James Handley, Nathaniel Albritton, John Koegler, Steven Murray, Willie Maddox, Stephen Moren, Tom Alexander, William Fieselman, Robert Caspers, "Geospatial feature based automatic target recognition (ATR) using data models", Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 76971B (28 April 2010); doi: 10.1117/12.863705; https://doi.org/10.1117/12.863705
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KEYWORDS
Data modeling

Automatic target recognition

Sensors

Palladium

Radar

Target detection

Target recognition

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