1 April 2000 FLIR ATR using location uncertainty
Author Affiliations +
J. of Electronic Imaging, 9(2), (2000). doi:10.1117/1.482738
A model-based FLIR ATR algorithm is described. It utilizes boundary contrast for target detection and recognition. Boundary contrast is related to the location uncertainty at target boundary points. A polygon model is used for deriving target centroid location uncertainty caused by the boundary point location uncertainty. The significance of the work lies in the sound mathematical models used in deriving the relationship between contrast and location uncertainty for the boundary points and the relationship between boundary point location uncertainty and centroid location uncertainty. Experiment results show significantly improved performance in detection, recognition, and localization.
Gang Liu, Robert M. Haralick, "FLIR ATR using location uncertainty," Journal of Electronic Imaging 9(2), (1 April 2000). http://dx.doi.org/10.1117/1.482738

Detection and tracking algorithms

Forward looking infrared

Automatic target recognition

Target detection

Target recognition

Signal to noise ratio

Image segmentation

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