A new algorithm is developed to discriminate mobile target from natural clutter in high-resolution SAR imagery with multi-scale lacunarity feature in this paper. The concept of lacunarity is introduced

and the different methods are proposed to calculate the lacunarity in the binary image and gray image. And then

the multi-scale lacunarity are used discriminate the vehicle target. Finally

the MSTAR data with vehicle targets and natural terrains are used to validate the above algorithm

and the performance of this algorithm is good.