Acta Photonica Sinica, Volume. 41, Issue 9, 1124(2012)
A New SAR Segmentation Algorithm Based on Nonconvex Regularization
With multiplicative noise present, SAR image segmentation becomes difficult to implement.In this paper, a new energy functional model in introduced which is based on nonconvex regularization. This new model combines the regions as well as boundary properties, which can improve the accuracy of segmentation, and protect the geometric edges of the SAR images as far as possible. Segmentation of regions of interest is performed by numerical solution of the partial differential equations that are derived through minimizing the energy formulation. Experiments on both synthetic and real SAR images demonstrate the effectiveness of the proposed algorithm.
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SHANG Xiaoqing, YANG Lin, ZHAO Zhilong. A New SAR Segmentation Algorithm Based on Nonconvex Regularization[J]. Acta Photonica Sinica, 2012, 41(9): 1124
Received: Feb. 24, 2012
Accepted: --
Published Online: Aug. 31, 2012
The Author Email: Xiaoqing SHANG (xqshang@xidian.edu.cn)