Anti-distortion correlation recognition of underwater beam drift laser images
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摘要: 针对水下激光传输存在光束漂移现象,分析了光束漂移图像对光学相关识别的影响和帧间光束漂移图像噪声的不相关性。研究了抗畸变匹配滤波器设计,提出了基于相位匹配的畸变图像共同特征提取,并作为综合鉴别函数子特征的训练样本,设计了抗畸变综合鉴别匹配滤波器,并进行了仿真验证。Matlab仿真结果证明:抗畸变综合鉴别匹配滤波器设计,结合待识别图像随机散射噪声预滤波,可有效提高光学相关识别输出相关峰的峰值-相关能量比值和相关峰鉴别率值。Abstract: Beam drift exists in underwater laser propagation. Influence of the beam drift on the images correlation recognition and the irrelevance between the random noise of inter-frame images were analyzed. The distortion-invariant matched filter design was studied, a phase-matching extraction of common features between distorted images was proposed, and the common features were used as the training samples of the synthetic discriminant function, based on which anti-distortion matching filter was designed and verified by a simulation. The Matlab simulation results show that the design of anti-distortion synthetic discriminant matching filter, combined with the pre-filtering of the image to be recognized, can effectively improve the PCE value (peak- the correlation energy ratio) of the correlation peak output and the disk values (peak identification rate).
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