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23 March 1994 Contrast enhancement of missile data through image sequence stabilization and product correlation
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Seung-Jin Choi, Richard R. Schultz, Robert L. Stevenson, Yih-Fang Huang, Ruey-Wen Liu, and Lou Morine "Contrast enhancement of missile data through image sequence stabilization and product correlation", Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); https://doi.org/10.1117/12.171064
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