基于小波双尺度分析的光电小目标检测

Small electro-optical target detection based on two-scale wavelet analysis

  • 摘要: 空间光电图像中的小目标检测可视为对目标信号的奇异值检测问题,而基于小波变换的多尺度分析是信号奇异值检测的重要方法。文中阐述了现有小波多尺度分析方法进行小目标检测的原理,并针对其运用中存在的模极大值线难以搜索以及目标定位精度不高的问题,利用小波函数的对称性及空间小目标信号近似对称的特点,提出了一种通过分析小波大小两个尺度来直接对光电小目标进行检测的方法,并对该方法进行了实现与仿真。仿真结果表明,该方法可以有效提高小目标的检测速度和定位精度。

     

    Abstract: As the small targets in the eletro-optical image are composed of tiny pixels, the detection of small targets can be regarded as the singular value detection of the target signal, and the wavelet-based multi-scale analysis is an important detection method of signal singular value. This paper analyzed the principle of small target detection using the existing wavelet-based multi-scale analysis method, and its use in the estimation of the modulus maxima value line is difficult and target location accuracy is not good. Based on the symmetry of wavelet function and small target signal, a method is presented to detect the small target in electro-optical image directly based on the wavelet analysis over two different scales. Finally, experiments proved that the method can improve the detection speed and location accuracy effectively.

     

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