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Research on the Technology of Partial Masked Target Recognition

机译:部分掩蔽目标识别技术研究

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The result of target recognition is always influenced by the clutter background, low contrast and deficiency luminance of image. Besides the factors mentioned above, detection and recognition of partial masked target has the character of fragmented target, which leads to another problem. All the harmful factors cause that target recognition can not be realized by hybrid optoelectronic joint transform correlator (HOJTC) due to the weak correlation peaks, even no peaks appear. In this paper, input image of HOJTC is processed by the method of adaptive threshold, and power spectrum is processed by wavelet transform (WT) as well. The combination effectively controls the disturbance of noise and enhances the energy of diffractive light of target. Experiment of HOJTC shows that the method can enhance the contrast of correlation peaks of partial masked target and improve the detection and recognition capacity of HOJTC. As an example, the experiment results of fragmented airplane target before and after processing are shown in the paper, which demonstrate the effectiveness of the method.
机译:目标识别的结果始终受背景杂乱,对比度低和图像亮度不足的影响。除上述因素外,对部分被掩蔽目标的检测和识别还具有目标碎片的特点,这又带来了另一个问题。由于相关峰弱,甚至没有峰出现,所有有害因素导致无法通过混合光电联合变换相关器(HOJTC)实现目标识别。本文采用自适应阈值的方法对HOJTC的输入图像进行处理,并通过小波变换(WT)对功率谱进行处理。该组合有效地控制了噪声的干扰,并增强了目标衍射光的能量。 HOJTC实验表明,该方法可以增强部分被掩蔽目标相关峰的对比度,提高HOJTC的检测和识别能力。举例说明了在处理前后对目标进行破碎的实验结果,证明了该方法的有效性。

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