| 长波红外偏振图像及其误偏振信息分析 |
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| 引用本文： | 徐参军, 赵劲松, 潘顺臣, 蔡毅. 长波红外偏振图像及其误偏振信息分析[J]. 红外技术, 2012, 34(2): 103-108. DOI: 10.3969/j.issn.1001-8891.2012.02.009 |
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| 作者姓名： | 徐参军 赵劲松 潘顺臣 蔡毅 |
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| 作者单位： | 昆明物理研究所,云南昆明,650223 |
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| 摘 要： | 给出了长波红外偏振图像融合的结果,对融合的偏振图像进行了定性分析和定量评价.研究表明,偏振图像的融合方法有多种,能产生多种图像融合结果.融合后的长波红外偏振图像凸显了目标的形状,细节更加清楚,边缘更突出,立体感更强.与原始红外图像比较,长波红外偏振图像灰度均值提高168％、灰度标准差提高194％,梯度提高468％.处理后的偏振图像和原始的红外图像比较说明了长波红外偏振成像能明显提高目标和背景之间的对比度,更加有利于目标的识别.和中波红外偏振图像相比,给出了长波红外偏振图像误偏振信息的来源,这些误偏振信息在后续的偏振信息处理中是要消除的,说明了中波红外偏振成像的效果好.
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| 关 键 词： | 红外 红外偏振成像 图像增强 对比度 |
| 收稿时间： | 2011-11-30 |
Analysis of LWIR Polarization Images and Corresponding False Polarization Information |
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| XU Can-jun, ZHAO Jin-song, PAN Shun-chen, CAI Yi. Analysis of LWIR Polarization Images and Corresponding False Polarization Information[J]. Infrared Technology , 2012, 34(2): 103-108. DOI: 10.3969/j.issn.1001-8891.2012.02.009 |
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| Authors: | XU Can-jun ZHAO Jin-song PAN Shun-chen CAI Yi |
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| Affiliation: | (Kunming Institute of Physics,Kunming 650223,China) |
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| Abstract: | The initial polarimetric images and the corresponding qualitative and quantitative evaluations of LWIR polarization imaging system are presented in this paper. There are several methods of fusion of Long Wave Infrared polarimetric image, the methods provide with multiple choices to the displaying of image. The Long Wave Infrared polarimetric images of fusion are clearer in profile, more protuberant in object’s edges and shapes, better in stereo sense than the original images of LWIR polarization. For the Long Wave Infrared polarimetric images of fusion，the mean of gray scales have been improved 168%，it's standard difference of gray scales have been improved 194%, the gradient of image of fusion of polarization have been improved 468%. A comparison between polarization images and origin infrared images shows that the technology of Long Wave Infrared polarization imaging can obviously increase the contrast between target and background. It is very available in the object discriminating. Comparing to images of the MWIR polarization imaging system, some sources of false polarization information of LWIR polarization images are presented, it is removed in the post-processed of polarization information. It is explained that MWIR polarization imaging system is better than LWIR polarization imaging system. |
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| Keywords: | infrared infrared polarization imaging image improvement contrast |
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