Adaptive Texture Representation Methods for Automatic TargetRecognition
K. Messer, Dick de Ridder, Josef Kittler · 1999
Automatic Target Recognition (ATR) is a demanding application that re-quires separation of targets from a noisy background in a sequence of im-ages. In this paper, two adaptive methods for describing such a background are proposed which are based on Principal and Independent Component Ana-lysis 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. 1