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Zernike moment based time sensitive targets detection and recognition

机译:基于Zernike矩的时敏目标检测与识别

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The ground time sensitive targets have high mobility. It is hard to use traditional template matching method to detect and recognize the targets since their attitude angles are not known. To make matters worse, the complicated background and grayscale reversal always cover the target like airplane and warship. This paper proposes a method based on 2D Zernike moment and Adaboost algorithm to detect and recognize the time sensitive targets. The experimental result indicates that the method is efficient.
机译:地面时间敏感目标具有高流动性。由于其姿态角度不知道,难以使用传统的模板匹配方法来检测和识别目标。使事情变得更糟,复杂的背景和灰度逆转总是覆盖飞机和军舰等目标。本文提出了一种基于2D Zernike矩和Adaboost算法的方法来检测和识别时间敏感目标。实验结果表明该方法有效。

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