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1 September 1990 IR sensor data fusion for target detection, identification, and tracking
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Abstract
A data fusion processor which combines information from a platform scanned line array of detectors and an imaging JR sensor has been developed to detect, identify, and track ship targets. The sensors, scanning platform, and image processor are integrated into an experimental system which is tested on a Navy P3 aircraft. The processor operates in real time to select targets based on a programmable classification criteria.

The vertically stacked detector array is mounted on an inertially stabilized platform which is horizontally scanned at an operator selectable rate. The processing of each detector in the array is set by the operator and may be considered separately or combined with other elements in the array to produce a synthetic large instantaneous field of view. The scan rate and processing selection is made on the basis of the search area of interest, atmospheric conditions, the target data, and other factors. The JR imaging camera provides scene images at a 30 hertz rate which are combined with the line array data in the classification processor. Multiple digital signal processors are used in the classification processor to achieve the required data throughput rates. The system configuration, the requirements on the platform scanner, the classification processor algorithms, and the classification processor architecture are discussed. Data from the field tests will also be presented.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Elmer F. Williams "IR sensor data fusion for target detection, identification, and tracking", Proc. SPIE 1304, Acquisition, Tracking, and Pointing IV, (1 September 1990); https://doi.org/10.1117/12.2322205
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