Aircraft recognition based on nonparametrical statistics

Ling Wang, Chao Xing, Jie Yan
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引用次数: 3

Abstract

The problem of aircraft recognition in a single image is analyzed. A novel method combined Fourier series representation and nonparametric statistics is introduced to do pattern recognition for aircraft. Silhouettes obtained by image segmentation are described by Fourier series, after which empirical distribution function of curvature is computed. Fast matching is performed with coarse hypothesis test for partial classification. The re#ned hypothesis test is used to get detailed matching result. Experimental results show the effectiveness of the algorithm for shape recognition.
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基于非参数统计的飞机识别
分析了单幅图像下的飞机识别问题。提出了一种将傅里叶级数表示与非参数统计相结合的飞机模式识别方法。图像分割得到的轮廓用傅里叶级数进行描述,然后计算曲率的经验分布函数。采用粗假设检验对部分分类进行快速匹配。采用新需要的假设检验得到详细的匹配结果。实验结果表明了该算法对形状识别的有效性。
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