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中文摘要：
针对传统平行线定义的局限性，本文提出了一种平行线对模型，并以该模型为核心，设计了一种基于边缘检测的SAR（Synthetic Aperture Radar, SAR）图像平行线特征提取算法。在图像经过滤波预处理后，首先采用具有恒虚警特性的ROEWA（Ratio of Exponentially Weighted Averages, ROEWA）算子得到边缘检测图，再利用提出的平行线基元提取算法进行检测，最后基于启发式连接的思想连接断点。实验结果表明，该算法能有效地提取SAR图像中的平行线性结构，可以进一步应用于道路网、机场跑道、河流等大型组合线性目标的自动识别中。
英文摘要：
A model of parallel pair is proposed to overcome the limitation of the traditional one and it is the kernel of the designed algorithm for parallel feature extraction in Synthetic Aperture Radar （SAR） images. After the original SAR image is filtered to suppress the speckle noise, Ratio of Exponentially Weighted Averages （ROEWA） operator which has constant false alarm rate is used to detect edge. Then the approach of primitive parallel line segment extraction is carried out. Finally, the breakpoints are connected by means of the heuristic link idea. The experiment results show that the proposed algorithm can extract the parallel characteristic of SAR images efficiently, and it can be used for auto target recognition, such as roads, airports and rivers.
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