An effective segmentation algorithm for MSTAR SAR target chips

作者：Lin Da; Xu Xin; Dong Hao; Xie Wentao

来源：Geomatics and Information Science of Wuhan University, 2015, 40(10): 1377-1380 and 1385.

DOI：10.13203/j.whugis20130572

• Branch-and-bound algorithms
• Energy optimization
• Image over segmentations
• Latent Dirichlet allocation
• Markov Random Fields
• SAR image segmentation
• Segmentation algorithms
• Segmentation results

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.

• 出版日期2015