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17 March 2008 A field demonstration of multi-INT surveillance and data fusion
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Collecting data in any domain is often only the first step in creating intelligence. This is the beginning of a process which includes fusing that data with other data sources to create something more than the individual data elements. This has been historically difficult because collection sensors are optimized for their respective conventional domains. We have developed a multi-sensor system combining an electro-optical camera and infrared camera, using a revolutionary data handling and manipulating process to fuse multiple types of data to create intelligence. To address the data fusion needs of such a system, we have developed an internationally recognized, open data fusion language called Transducer Markup Language (TML). TML was used in conjunction with the multi-sensor system to describe data from the EO and IR cameras and support sensors all within a self-contained mobile delivery system during military exercises in July 2007. The TML data was collected and disseminated to multiple users within a Service Oriented Architecture (SOA), after which it was further distributed using Cursor-On-Target (COT) messages over a second network. This demonstrated both data fusion of multiple sensor data sources and integration into existing data distribution infrastructures. Key innovations of this demonstration included the use of multiple sensors including EO & IR cameras and a single sensor data exchange language to capture and describe sensor output.
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Arthur Na and Steve Havens "A field demonstration of multi-INT surveillance and data fusion", Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 69740F (17 March 2008); doi: 10.1117/12.778024;


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