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We present a method for characterizing clutter in images by using multiscale hidden Markov models in the wavelet domain, and we discuss the application of this in predicting the performance of automatic target recognition (ATR) systems. Wavelet Markov models explicitly include dependence across scale, which allows us to characterize highly structured clutter. Since structured clutter is a common cause...