Paper
23 May 2011 Network exploitation using WAMI tracks
Ray Rimey, Jim Record, Dan Keefe, Levi Kennedy, Chris Cramer
Author Affiliations +
Abstract
Creating and exploiting network models from wide area motion imagery (WAMI) is an important task for intelligence analysis. Tracks of entities observed moving in the WAMI sensor data are extracted, then large numbers of tracks are studied over long time intervals to determine specific locations that are visited (e.g., buildings in an urban environment), what locations are related to other locations, and the function of each location. This paper describes several parts of the network detection/exploitation problem, and summarizes a solution technique for each: (a) Detecting nodes; (b) Detecting links between known nodes; (c) Node attributes to characterize a node; (d) Link attributes to characterize each link; (e) Link structure inferred from node attributes and vice versa; and (f) Decomposing a detected network into smaller networks. Experimental results are presented for each solution technique, and those are used to discuss issues for each problem part and its solution technique.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ray Rimey, Jim Record, Dan Keefe, Levi Kennedy, and Chris Cramer "Network exploitation using WAMI tracks", Proc. SPIE 8062, Defense Transformation and Net-Centric Systems 2011, 80620L (23 May 2011); https://doi.org/10.1117/12.883093
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Buildings

Data modeling

Sensors

Logic

Process modeling

Motion models

3D modeling

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