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20 December 1993 Cueing, recognition, and tracking using multisensor fusion in precision stabilized airborne platforms
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Abstract
This paper will discuss the development of an automated cueing, recognition and tracking system. The concept of multi-sensor integration and information fusion is shown embodied in the hierarchical architecture of information systems. A neural network paradigm is used for the classification of the objects-of-interest. Finally target tracking, the last step in the surveillance technology, is discussed.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pavel A. Maltseff and Jon Christophe Moens "Cueing, recognition, and tracking using multisensor fusion in precision stabilized airborne platforms", Proc. SPIE 2023, Airborne Reconnaissance XVII, (20 December 1993); https://doi.org/10.1117/12.165519
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