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A Small Target Detection Method based on Generalized S-Transform

机译:基于广义S变换的小目标检测方法

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摘要

A novel small target detection method based on 2-D Generalized S-transform is proposed in this paper. A four dimensional array was obtained after the 2-D Generalized S-transform of an image and the energy sum of nonzero frequency components in the S-transform domain can be computed. Comparing the energy sum of nonzero frequency components with a predefined threshold at each point, the position of suspected targets were obtained. The double window technique is chosen to recognize real small target in spatial domain. The experiments of real images show that this method can detect the small target in low signal-noise-ratio image effectively.
机译:提出了一种基于二维广义S变换的小目标检测新方法。在对图像进行二维广义S变换后,可以得到一个四维数组,并且可以计算S变换域中非零频率分量的能量之和。将非零频率分量的能量总和与每个点处的预定义阈值进行比较,即可获得可疑目标的位置。选择双窗口技术以识别空间域中的真实小目标。真实图像实验表明,该方法可以有效地检测出低信噪比图像中的小目标。

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