A target recognition approach based on multiresolution analysis is proposed, and tested on returns of high range resolution radar. Features of targets are extracted by computing the logarithms of the ratios of energies in adjacent scales defined by wavelet transform. With multiresolution analysis, the features are decomposed into the highpass features reflecting detailed structure of targets and the lowpass features showing the outline of the targets. A radial basis function neural network is applied for classification.