收稿：2017-09-04，
录用：2017-9-28，
纸质出版：2018-11
移动端阅览
偏振成像技术已经成为有效提升空间遥感信息应用能力的有力工具。通过模拟自然界的昆虫、鸟类及鱼类偏振视觉系统的信息感知与高精度导航机制，探索基于仿生偏振视觉环境信息感知与位置姿态测量中的科学问题。构建基于偏振成像目标特征与导航信息融合的仿生态势感知系统，建立了仿生信息感知与导航解算模型，提出基于生物偏振视觉的仿生信息感知与导航的信息融合与误差分析关键算法，设计实现一种空间环境特征感知及导航信息融合的态势感知系统原理样机，数据更新率高于25 Hz，角度测量重复精度优于0.05°。
The development of novel principle photoelectric detection system is an important part of the construction of space situation awareness system. The imaging polarimetry has become a powerful tool to enhance the information available in a variety of space remote sensing applications. This paper presents a new space situational awareness system by imitating the structure and function of biology in nature. Inspired by the information awareness and navigation mechanism of the insect
birds and fish
we explore the science problem about environments information awareness and location measurement by means of model simulation
prototype construction and experimental verification
which based on the bionic polarization vision system. Bionic situational awareness system which fused the polarization image feature and navigation information is suggested. The information fusion and error analysis model based on bionic information perception and navigation is presented. A situational awareness prototype fused space feature acquisition and navigation is built up
the data update rate is higher than 25 Hz
and the angle measurement repeatability is within 0.05°. Polarization imaging situational awareness system function experimental results show that the bionic polarization detection method can reveal more details about the target feature information and enhance the effect of space target detection effectively
which fused the target light intensity
polarization degree and polarization azimuth information.
蔡幸福, 张雄美, 高晶. 2015. 空间目标特性分析与识别. 西安: 西北工业大学出版社
Cai X F, Zhang X M and Gao J. 2015. Characteristic analysis and recognition of space target. Xi’an: Northwestern Polytechnical University Press
耿文东, 杜小平, 李智, 马志昊, 吴钰飞, 耿歌. 2015. 空间态势感知导论. 北京: 国防工业出版社
Geng W D, Du X P, Li Z, Ma Z H, Wu Y F and Geng G. 2015. Introduction to Space Situational Awareness. Beijing: National Defense Industry Press
顾孝烈, 鲍峰, 程效军. 2011. 测量学. 上海: 同济大学出版社
Gu X Y, Bao F and Cheng X J. 2011. Metrology. Shanghai: Tongji University Press
Homberg U. 2004. In search of the sky compass in the insect brain. Naturwissenschaften, 91(5): 199–208
Horváth G, Bernáth B, Suhai B, Barta A and Wehner R. 2002. First observation of the fourth neutral polarization point in the atmosphere. Journal of the Optical Society of America A Optics Image Science & Vision, 19(10): 2085–2099
黄小红, 姜卫东. 2005. 空间目标RCS序列周期性判定与提取. 航天电子对抗, 21(2): 29–30
Huang X H and Jiang W D. 2005. Periodic decision and extraction of RCS sequences for space targets. Aerospace Electronic Warfare, 21(2): 29–30 (
Labhart T and Meyer E P. 1999. Detectors for polarized skylight in insects: a survey of ommatidial specializations in the dorsal rim area of the compound eye. Microscopy Research and Technique, 47(6): 368–379
Lu H, Zhao K C, You Z and Huang K L. 2015. Angle algorithm based on Hough transform for imaging polarization navigation sensor. Optics Express, 23(6): 7248–7262
McCullough P R. 2006. Models of polarized light from oceans and atmospheres of earth-like extrasolar planets. Astrophysical Journal, arXiv:astro-ph/0610518
Miyazaki D, Ammar M, Kawakami R and Ikeuchi K. 2010. Estimating sunlight polarization using a fish-eye lens. Information and Media Technologies, 5(1): 164–176
Vision Components. 2013. VCSBC Quadro Single Board Operating Manual. Vision Components
Voss K J and Zibordi G. 1989. Radiometric and geometric calibration of a visible spectral electro-optic “Fisheye” camera radiance distribution system. Journal of Atmospheric and Oceanic Technology, 6(4): 652–662
Voss K J and Chapin A L. 2005. Upwelling radiance distribution camera system, NURADS. Optics Express, 13(11): 4250–4262
Wang D B, Liang H W, Zhu H and Zhang S. 2014. A bionic camera-based polarization navigation sensor. Sensors, 14(7): 13006–13023
Wehner R. 1999. Large-scale navigation: the insect case // COSIT 1999: Spatial Information Theory. Cognitive and Computational Foundations of Geographic Information Science. Berlin, Heidelberg: Springer: 1–20 [DOI: 10.1007/3-540-48384-5_1]
Wehner R. 2003. Desert ant navigation: how miniature brains solve complex tasks. Journal of Comparative Physiology A, 189(8): 579–588
Wehner R and Muller M. 2006. The significance of direct sunlight and polarized skylight in the ant’s celestial system of navigation. Proceedings of the National Academy of Sciences of the United States of America, 103(33): 12575–12579
Zhang Z. 2000. A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11): 1330–1334
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