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1.北京跟踪与通信技术研究所, 北京 100094
2.中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033
3.中国科学院大学, 北京 100049
[ "马岩 (1977-),男,山东单县人,硕士,副研究员,2002年于北京跟踪与通信技术研究所获得硕士学位,主要从事目标测量与特征提取、信息融合处理与分析、数据计算技术的研究。E-mail:mayan888@sina.com" ]
[ "张超子 (1993-),男,吉林长春人,博士研究生,2016年于天津大学获得学士学位,主要从事光谱成像技术的研究。E-mail: chaozi_zhang@qq.com" ]
收稿日期:2019-09-05,
录用日期:2019-10-16,
纸质出版日期:2019-12-25
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马岩, 张超子, 刘也, 等. 采用双三次插值的空间目标偏振成像[J]. 光学精密工程, 2019,27(12):2555-2563.
Yan MA, Chao-zi ZHANG, Ye LIU, et al. Polarization imaging of space target based on bicubic interpolation[J]. Optics and precision engineering, 2019, 27(12): 2555-2563.
马岩, 张超子, 刘也, 等. 采用双三次插值的空间目标偏振成像[J]. 光学精密工程, 2019,27(12):2555-2563. DOI: 10.3788/OPE.20192712.2555.
Yan MA, Chao-zi ZHANG, Ye LIU, et al. Polarization imaging of space target based on bicubic interpolation[J]. Optics and precision engineering, 2019, 27(12): 2555-2563. DOI: 10.3788/OPE.20192712.2555.
为了解决暗弱场景下空间目标与背景对比度过低,无法区分的问题,采用分焦面偏振成像系统分别对室外暗弱场景、室内空间模拟环境进行成像;为了弥补分焦面偏振成像系统图像分辨率下降的缺点,采用双三次插值算法进行上采样。通过分焦面偏振相机的一次曝光便可获得4个不同偏振角度下的光强图,进而解算出偏振度图像和偏振角图像,并与传统的光强图像进行对比;利用双三次插值算法对4幅光强图进行上采样提高图像分辨率,然后再解算出偏振度图像,与未通过上采样获得的偏振度图像进行对比。实验结果表明,偏振成像较之传统的光强成像,目标的对比度获得了提高,边缘信息、纹理信息得到了更好的展现,偏振度图像与光强图像相比,与对比度有关的EME指标至少提高了17%,双三次插值算法提高了成像分辨率。应用双三次插值算法的分焦面偏振成像系统,对暗弱场景下的空间目标的识别具有潜在的应用价值。
To solve the problem in which the contrast between a space target and its background is too low to be distinguished in a dark scene
the focal-plane array polarization imaging system is used to image the outdoor dark scene and the indoor space simulation environment. At the same time
to compensate for the shortcomings of the decreased resolution of the focal-plane array polarization imaging system
the bicubic interpolation algorithm is used for upsampling. On one hand
the intensity image under four different polarization angles can be obtained by a single exposure of the focal-plane array polarizer camera
then
the Degree of Polarization (DOP) and the Angle of Polarization (AOP) images are compared to the intensity image. On the other hand
the bicubic interpolation algorithm is used to upsample the four intensity images to improve the image resolution and then
calculate the DOP image compared with the DOP image obtained without the upsampling procedure. The experimental results show that compared with traditional intensity imaging
the contrast of the target is improved
the edge information and texture information are better displayed by imaging polarimetry
and the final imaging resolution is improved by the bicubic interpolation algorithm. The measure of enhancement (EME)
a contrast evaluation index
is approximately 17% more in the DOP image than in the intensity image
proving that the focal plane polarization imaging system using a bicubic interpolation algorithm has potential application value for the identification of space targets in the dark scenes.
ZALLAT J, GRABBLING P, TAKAKURA Y. Using polarimetric imaging for material classification[C]. Proceedings 2003 International Conference on Image Processing, IEEE, 2003: Ⅱ-827.
BEAVERS W I, TAPIA S, CHO J Y K. Photopolarimetric studies of resident space objects[C]. Lunar and Planetary Science Conference. 1991, 22: 67-68.
SANCHEZ D J, GREGORY S A, STORM S L, et al. . Photopolarimetric measurements of geosynchronous satellites[C]. Multifrequency Electronic/Photonic Devices and Systems for Dual-Use Applications. International Society for Optics and Photonics, 2001, 4490: 221-237.
BUSH K A, CROCKETT G A, BARNARD C C. Satellite discrimination from active and passive polarization signatures: simulation predictions using the TASAT satellite model[C]. Polarization Analysis and Measurement IV. International Society for Optics and Photonics, 2002, 4481: 46-58.
李范鸣, 牛继勇, 马利祥.基于红外偏振特性的空间目标探测可行性探讨[J].应用光学, 2013, 34(4): 653-657.
LI M F, NIU J Y, MA L X. Feasibility analysis of space target detection based on infrared polarization properties[J]. Journal of Applied Optics, 2013, 34(4): 653-657. (in Chinese)
袁博, 高静, 杨凡超, 等.空间目标材料偏振光学特性研究[J].光子学报, 2017, 46(1): 0116003-1-0116003-8.
YUAN B, GAO J, YANG F CH, et al.. Research on Polarized Optical Properties of Space Target Material[J]. Acta Optica Sinica, 2017, 46(1): 0116003-1-0116003-8. (in Chinese)
庞树霞.基于光度与偏振信息的天基空间碎片探测方法研究[D].西安: 中国科学院西安光学精密机械研究所, 2018. https://www.ixueshu.com/document/994906362d7885ded9f81c418ba3246b318947a18e7f9386.html
PANG S X. Space-based Detection of Space Debris by Photometric and Polarimetric Characteristics [D]. Xi'an: Xi'an Institute of Optics and Precision Mechanics, 2018. (in Chinese)
刘敬, 夏润秋, 金伟其, 等.基于斯托克斯矢量的偏振成像仪器及其进展[J].光学技术, 2013, 39(1):56-62
LIU J, XIA R Q, JIN W Q, et al. . Review of imaging polarimetry based on Stokes vector[J]. Optical Technique, 2013, 39(1):56-62. (in Chinese)
张哲, 刘欣悦, 王建立, 等.分时型长波红外高帧频偏振成像实验研究[J].液晶与显示, 2019, 34(5):508-514.
ZHANG ZH, LIU X Y, WANG J L, et al. . Division-of-time long-wave infrared high frame frequency polarization imaging experiment[J]. Chinese Journal of Liquid Crystals and Displays, 2019, 34(5):508-514. (in Chinese)
韩勇, 赵开春, 尤政.快速旋转式偏振成像探测装置的设计[J].光学 精密工程, 2018, 26(10): 2345-2354.
HAN Y, ZHAO K CH, YOU ZH. Development of rapid rotary polarization imaging detection devices[J]. Optics and Precision Engineering , 2018, 26(10):2345-2354.(in Chinese)
张阿珍, 刘政林, 邹雪城, 等.基于双三次插值算法的图像缩放引擎的设计[J].微电子学与计算机, 2007, 24(1):49-51.
ZHANG A ZH, LIU ZH L, ZOU X CH, et al. . Design of image scaling engine based bicubic interpolation algorithm[J] . Microelectronics & Computer, 2007, 24(1):49-51. (in Chinese)
廖延彪.偏振光学[M].北京:科学出版社, 2003.
LIAO Y B. Polarization Optics [M]. Beijing: Science Press, 2003. (in Chinese)
GENDRE L, FOULONNEAU A, BIGUE L. Imaging linear polarimetry using a single ferroelectric liquid crystal modulator[J]. Applied Optics, 2010, 49(25): 4687-4699.
HARNETT C K, CRAIGHEAD H G. Liquid-crystal micropolarizer array for polarization-difference imaging[J]. Applied Optics, 2002, 41(7): 1291-1296.
GAO S, GRUEV V. Bilinear and bicubic interpolation methods for division of focal plane polarimeters[J]. Optics Express , 2011, 19(27): 26161-26173.
梁健, 巨海娟, 张文飞, 等.偏振光学成像去雾技术综述[J].光学学报, 2017(4):9-21.
LIANG J, JU H J, ZHANG W F, et al .. Review of optical polarimetric dehazing technique[J]. Acta Optica Sinica, 2017(4):9-21. (in Chinese)
AGAIAN S S, PANETTA K, GRIGORYAN A M. Transform-based image enhancement algorithms with performance measure[J]. Opt. Precision Eng. , 2001, 10(3): 367-382.
范之国, 宋强, 代晴晴, 等.全局参数估计的水下目标偏振复原方法[J].光学 精密工程, 2018, 26(7): 1621-1632.
FAN ZH G, SONG Q, DAI Q Q, et al.. Underwater target polarization recovery method based on global parameter estimation[J]. Optics and Precision Engineering , 2018, 26(7): 1621-1632. (in Chinese)
SOH L K, TSATSOULIS C. Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices[J]. IEEE Transactions on geoscience and remote sensing , 1999, 37(2): 780-795.
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