Object Detection in Infrared Images

This paper describes algorithms for detecting and classifying objects such as tanks and trucks in forward-looking infrared (FLIR) imagery. It summarizes research conducted in the course of a two-year project in the areas of image modeling, pre- and post-processing, segmentation, feature extraction, and classification.

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