Pattern of life analysis for diverse data types

Citation

Clay D. Spence, Ben Southall, Alex Tozzo, Jun Hu, Thomas Kover, Joseph Ferraro, Hui Cheng, “Pattern of life analysis for diverse data types”, Proc. SPIE 9828, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XIII, 98280D (17 May 2016)

Abstract

SRI has developed a system to automatically analyze the Pattern of Life (PoL) of ports, routes and vessels from a large collection of AIS data. The PoL of these entities are characterized by a set of intuitive and easy to query semantic attributes. The prototype system provides an interface to ingest other types of information such as WAAS (Wide Area Aerial Surveillance) and GDELT (Global Database of Events, Language, and Tone) to augment knowledge of the Area of Operations. It can interact with users by answering questions and simulating what-if scenarios to keep human in the processing loop.

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