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Proceedings Paper

Contrast enhancement of missile data through image sequence stabilization and product correlation
Author(s): Seung-Jin Choi; Richard R. Schultz; Robert L. Stevenson; Yih-Fang Huang; Ruey-Wen Liu; Lou Morine
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Paper Abstract

Missile image sequences often contain a strong plume signature expelled by the missile, with a weak signal corresponding to the missile hardbody. Enhancement of the missile signal in low signal-to-noise ratio environments is necessary to accurately track the trajectory throughout the sequence. By stabilizing the image sequence a registered data set is produced in which the missile hardbody can be found in the same location within each frame. A statistical method known as product correlation (PC) may be applied to the stabilized data, enhancing missile contrast with respect to the background. An algorithm for the passive stabilization of video sequences consisting of missile imagery is described. PC is presented in the context of higher order statistics and then applied to stabilized video sequences to enhance the missile hardbody signal within the data.

Paper Details

Date Published: 23 March 1994
PDF: 12 pages
Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); doi: 10.1117/12.171064
Show Author Affiliations
Seung-Jin Choi, Univ. of Notre Dame (United States)
Richard R. Schultz, Univ. of Notre Dame (United States)
Robert L. Stevenson, Univ. of Notre Dame (United States)
Yih-Fang Huang, Univ. of Notre Dame (United States)
Ruey-Wen Liu, Univ. of Notre Dame (United States)
Lou Morine, W.J. Schafer Associates, Inc. (United States)


Published in SPIE Proceedings Vol. 2182:
Image and Video Processing II
Sarah A. Rajala; Robert L. Stevenson, Editor(s)

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