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10 January 1997 Sensor data enhancement of ballistic missile warheads using an affine motion model
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Neutralizing the threat of an incoming ballistic missile is a difficult task. Often the missile disintegrates, leaving the warhead surrounded by a number of ballistic fragments. Among these fragments only the warhead must be intercepted. Thus the challenge is for the interceptor to identify and track the warhead so that a successful strike can be achieved. This paper addresses the problem of using noisy image sequence data captured by on-board sensors in the nose cone of the interceptor to detect warheads among fragments. Detection and tracking necessitates the extraction of reliable motion estimates, which is often difficult when the data sequence is noisy. We propose a simple algorithm that exploits both spatial and temporal correlation to suppress noise in the observed image sequence. Our algorithm calculates reliable estimates of the global motion caused by camera movement and uses these motion estimates to reduce significantly the noise in the video sequence.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph W. Monaco and Mark J. T. Smith "Sensor data enhancement of ballistic missile warheads using an affine motion model", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997);

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