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11 June 2015 Addressing fundamental architectural challenges of an activity-based intelligence and advanced analytics (ABIAA) system
Kevin Yager, Thomas Albert, Bernard V. Brower, Matthew F. Pellechia
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Proceedings Volume 9473, Geospatial Informatics, Fusion, and Motion Video Analytics V; 94730G (2015) https://doi.org/10.1117/12.2177492
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States
Abstract
The domain of Geospatial Intelligence Analysis is rapidly shifting toward a new paradigm of Activity Based Intelligence (ABI) and information-based Tipping and Cueing. General requirements for an advanced ABIAA system present significant challenges in architectural design, computing resources, data volumes, workflow efficiency, data mining and analysis algorithms, and database structures. These sophisticated ABI software systems must include advanced algorithms that automatically flag activities of interest in less time and within larger data volumes than can be processed by human analysts. In doing this, they must also maintain the geospatial accuracy necessary for cross-correlation of multi-intelligence data sources.

Historically, serial architectural workflows have been employed in ABIAA system design for tasking, collection, processing, exploitation, and dissemination. These simpler architectures may produce implementations that solve short term requirements; however, they have serious limitations that preclude them from being used effectively in an automated ABIAA system with multiple data sources.

This paper discusses modern ABIAA architectural considerations providing an overview of an advanced ABIAA system and comparisons to legacy systems. It concludes with a recommended strategy and incremental approach to the research, development, and construction of a fully automated ABIAA system.
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Kevin Yager, Thomas Albert, Bernard V. Brower, and Matthew F. Pellechia "Addressing fundamental architectural challenges of an activity-based intelligence and advanced analytics (ABIAA) system", Proc. SPIE 9473, Geospatial Informatics, Fusion, and Motion Video Analytics V, 94730G (11 June 2015); https://doi.org/10.1117/12.2177492
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KEYWORDS
Databases
Image processing
Feature extraction
Image registration
Geographic information systems
Data modeling
Analytics
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