Share Email Print
cover

Proceedings Paper

Sensor data enhancement of ballistic missile warheads using an affine motion model
Author(s): Joseph W. Monaco; Mark J. T. Smith
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

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.

Paper Details

Date Published: 10 January 1997
PDF: 9 pages
Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); doi: 10.1117/12.263289
Show Author Affiliations
Joseph W. Monaco, Georgia Institute of Technology (United States)
Mark J. T. Smith, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 3024:
Visual Communications and Image Processing '97
Jan Biemond; Edward J. Delp, Editor(s)

© SPIE. Terms of Use
Back to Top