Based on multi-scale wavelet transform,a multi -feature fusion approach for automatically detecting man-made objects in areas of natural background is proposed. Due to the energy distribution difference between targets and nature texture background in wavelet multiscale decomposing, the energy signature of sub-bands coefficients can be chosen as a simple but effective characterization of spatial texture. The edge feature is based on multiscale decomposition, which offers accurate and precise edge localization. By combining energy with edge information, the proposed algorithm can obtain robust segmentations. Experimental results prove that less than 5% of ultimate measurement error of the target area and more than 94.1%of detection probability for targets can be obtained by the method.