The Multi-scale Lacunarity Feature of Mobile Targets in SAR Imagery and the Discriminating Algorithm
SAR图像机动目标的多尺度间隙度特征及其鉴别处理算法

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.