| 小天体光学导航特征识别与提取研究进展 |
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| 引用本文： | 崔平远,贾贺,朱圣英,陆晓萱.小天体光学导航特征识别与提取研究进展[J].宇航学报,2020,41(7):880-888. |
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| 作者姓名： | 崔平远 贾贺 朱圣英 陆晓萱 |
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| 作者单位： | 1. 北京理工大学深空探测技术研究所，北京100081；2. 深空自主导航与控制工信部重点实验室，北京100081； 3. 飞行器动力学与控制教育部重点实验室，北京100081 |
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| 基金项目： | 国家重点研发计划（2019YFA0706500）；国家自然科学基金（61873302，61973032）；基础科研（JCKY2018602B002，JCKY2019602D022）；民用航天预研项目 |
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| 摘 要： | 针对小天体探测自主光学导航特征信息精确，快速获取的需求，阐述了利用图像信息实现光学导航特征识别与提取的必要性。首先分析了小天体光学导航特征识别与提取面临的主要问题；然后根据小天体探测各阶段目标成像特点，总结并分析了小天体探测光学导航特征识别与提取涉及的关键技术；最后，根据关键技术结合现有问题和未来发展需求，分析并对未来小天体探测光学导航特征识别与提取的发展趋势进行了展望。
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| 关 键 词： | 小天体 光学导航 特征识别 特征提取 图像处理 |
| 收稿时间： | 2020-04-25 |
Research Progress on Optical Navigation Feature Recognition and Extraction Technologies for Small Body Exploration#br# |
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| CUI Ping yuan,JIA He,ZHU Sheng ying,LU Xiao xuan.Research Progress on Optical Navigation Feature Recognition and Extraction Technologies for Small Body Exploration#br#[J].Journal of Astronautics,2020,41(7):880-888. |
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| Authors: | CUI Ping yuan JIA He ZHU Sheng ying LU Xiao xuan |
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| Institution: | 1. Institute of Deep Space Exploration, Beijing Institute of Technology, Beijing 10081, China; 2. Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration, Ministry of Industry and Information Technology, Beijing 100081, China; 3. Key Laboratory of Dynamics and Control of Flight Vehicle, Ministry of Education, Beijing 100081, China |
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| Abstract: | Aiming at the demand for accurate and fast extraction of autonomous optical navigation information for small body exploration, the necessity of using image information to extract optical navigation features is elaborated. Firstly, the main problems of optical navigation feature recognition and extraction of small bodies are analyzed; then the key technologies involved in optical navigation feature recognition and extraction of small body exploration are summarized and analyzed based on the characteristics of target imaging at each phase of small body exploration; finally, according to the key technologies combined with existing problems and future development needs, the development trend of optical navigation feature recognition and extraction for small body exploration is analyzed and prospected. |
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| Keywords: | Small body Optical navigation Feature recognition Feature extraction Image processing |
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