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长春理工大学 电信学院,吉林 长春 130022
Published:25 May 2024,
Received:18 December 2023,
Revised:17 January 2024,
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段锦,方瑞森,陈广秋等.基于偏振特征区域分解的耀光抑制方法[J].光学精密工程,2024,32(10):1456-1469.
DUAN Jin,FANG Ruisen,CHEN Guangqiu,et al.A method for suppressing glare based on polarization feature region decomposition[J].Optics and Precision Engineering,2024,32(10):1456-1469.
段锦,方瑞森,陈广秋等.基于偏振特征区域分解的耀光抑制方法[J].光学精密工程,2024,32(10):1456-1469. DOI: 10.37188/OPE.20243210.1456.
DUAN Jin,FANG Ruisen,CHEN Guangqiu,et al.A method for suppressing glare based on polarization feature region decomposition[J].Optics and Precision Engineering,2024,32(10):1456-1469. DOI: 10.37188/OPE.20243210.1456.
海面探测领域中,太阳耀光导致光电探测设备大面积像元饱和,严重妨碍了海面目标的信息采集工作。为了对太阳耀光进行抑制,提出基于偏振特征区域分解的耀光抑制方法。该方法通过分析探测器对偏振数据的采集情况,将耀光区域进行特征分解。对偏振非饱和耀光区域,通过完全偏振分解方法解算去偏振分量图像,滤除部分反射光,恢复耀光遮蔽区域场景信息。同时设置灰度容限,剥离偏振饱和耀光区域。针对偏振饱和耀光区域采集数据失真的问题,采用FMM图像修复算法,将非耀光区域水面信息扩散到耀光区域,重建灰度数据。本文在室内搭建耀光模拟及偏振成像平台,对采集图像进行算法测试。实验结果表明:抑制后的图像,饱和像素数平均降低了99.98%,基本消除了饱和像素。同时灰度均值降低了59.35%,并显著提高了信噪比。验证了本文方法对耀光杂波抑制的有效性与可行性。
In the field of sea surface detection, solar flares cause a large area of pixel saturation in photoelectric detection equipment, seriously hindering the information collection work of sea surface targets. In order to suppress solar flares, a flare suppression method based on polarization feature region decomposition was proposed. This method decomposed the characteristics of the flare area by analyzing the collection of polarization data by the detector. For the polarization unsaturated glare region, the polarization component image was solved using the complete polarization decomposition method to filter out some reflected light and restore the scene information of the glare obscured area. Simultaneously we set the grayscale tolerance and peel off the polarization saturated glare area. In response to the problem of data distortion in polarization saturated glare areas, FMM image restoration algorithm was adopted to diffuse water surface information from non glare areas to glare areas and reconstruct grayscale data. This article built a dazzling simulation and polarization imaging platform indoors, and conducted algorithm testing on the collected images. The experimental results show that the suppressed image reduces the number of saturated pixels by 99.98% and basically eliminates saturated pixels. At the same time, the average grayscale decreased by 59.35%. The effectiveness and feasibility of the method proposed in this article for suppressing dazzling clutter have been verified.
太阳耀光偏振特征完全偏振分解耀光分离FMM修复
sun flarepolarization characteristicscomplete polarization decompositionflare separationFMM repair
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