基于组合模板的SAR图像识别

Liu Kaiqi, Wang Wenguang, S. Zuowei
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引用次数: 1

摘要

本文提出了一种新的基于组合模板的SAR图像识别算法。该算法是在传统均值模板识别的基础上提出的。我们利用训练样本的一些统计信息来制定拒绝阈值,期望该阈值能够有效地拒绝非模板类目标。同时,本文提出的组合模板算法可以通过另一种基于图形图像知识特征识别的目标识别方法对被拒绝的目标进行重新识别,从而提高最终的识别效率。最后,利用MSTAR数据库对目标识别能力进行检测,验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognition of SAR image based on combined templates
In this paper, a new recognition algorithm of SAR image which is based on combined templates has been proposed. The new algorithm is based on the traditional mean templates recognition. We use some statistical information of the training samples to make a refusing threshold, which is expected to have the ability that can refuse the non-template-class targets effectively. Meanwhile, the proposed combined templates algorithm can re-recognize those refused targets by another target recognition method called recognition based on features of graphic image knowledge so that we can improve the final recognizing efficiency. Finally, we use MSTAR database to detect the target recognition ability, which can indicate that the algorithm we proposed is effective.
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