一种有效的MSTAR SAR图像分割方法

提出了一种有效的MSTAR SAR图像分割方法。该方法首先对待处理图像进行过分割操作,得到过分割图像区域,然后对过分割后的图像进行图像区域级和像素级的特征提取,得到用于表示图像的特征向量,接着对MSTAR SAR图像使用空间隐含狄利克雷分配模型(sLDA)和马尔科夫随机场(MRF)建立本文所提出的模型,得到能量泛函,最后运用Graph-Cut算法和Branch-and-Bound算法对能量泛函进行优化,得到最终的分割结果。通过使用MSTAR SAR图像进行分割实验比较,仿真结果表明了方法的有效性。

An Effective Segmentation Algorithm for MSTAR SAR Target Chips

We present an effective segmentation algorithm for MSTAR SAR target chips. First, the image over-segmentation is implemented to acquire image regions. Then the region-level and pixel-level features are generated to represent SAR images of MSTAR SAR chips. Finally, the Graph-Cut and Branch-and-Bound algorithms are applied to the energy function obtained by sLDA and MRF to achieve the final segmentation results. Through a comparison of distinct SAR image segmentation experiments, our simulation results demonstrate the superior performance of our proposed method in terms of effectiveness.