Adaptive Texture Representation Methods for Automatic Target Recognition
نویسندگان
چکیده
Automatic Target Recognition (ATR) is a demanding application that requires separation of targets from a noisy background in a sequence of images. In this paper, two adaptive methods for describing such a background are proposed which are based on Principal and Independent Component Analysis of sampled image patches. Coupled together with feature selection and outlier detection techniques they enable the ATR system to adapt to certain backgrounds and identify non-standard elements in the images as targets. The methods proposed are compared with a standard wavelet-based approach and are shown to perform somewhat better on a difficult image sequence.
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