Based on the energy distribution difference between targets and background and on the information distribution difference in wavelet field after multiscale decomposing

the energy feature is chosen as one of the detection basis. It brings the independence of background texture direction and the invariance of rotation and translation for the changes of targets. In order to restrain the noise of background

improve the edge precision and probability of detection

the fusion method of energy feature and multiscale-based edge feature is proposed. The results of experiments prove that this method has relative adaptability.