摘要翻译：
本文介绍了SENER、Ingenieria和Sistemas为解决与在轨卫星基于图像的自主交会(RV)问题而开发的图像处理算法。所开发的方法在轨道寿命延长飞行器任务中有直接的应用。OLEV是瑞典空间公司、Kayser-Threde和SENER组成的一个财团正在开发的一项商业飞行任务，目的是通过向地球静止通信卫星提供控制、导航和制导服务来延长其使用寿命。OLEV计划在交会和对接的整个阶段使用一组摄像机来确定角位置和到客户卫星的距离，从而使没有配备任何特定导航辅助设备的卫星在接近期间能够提供支持。与在以前的空间飞行任务中已经测试过的其他竞争性视频技术（如下文所述技术）相比，使用未配备的客户卫星运行的能力大大扩大了正在开发的系统的适用范围。
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英文标题：
《An Image-Based Sensor System for Autonomous Rendez-Vous with
  Uncooperative Satellites》
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作者：
Carlos Miravet, Luis Pascual, Eloise Krouch, Juan Manuel del Cura
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最新提交年份：
2008
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Computer Vision and Pattern Recognition        计算机视觉与模式识别
分类描述：Covers image processing, computer vision, pattern recognition, and scene understanding. Roughly includes material in ACM Subject Classes I.2.10, I.4, and I.5.
涵盖图像处理、计算机视觉、模式识别和场景理解。大致包括ACM课程I.2.10、I.4和I.5中的材料。
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一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  In this paper are described the image processing algorithms developed by SENER, Ingenieria y Sistemas to cope with the problem of image-based, autonomous rendez-vous (RV) with an orbiting satellite. The methods developed have a direct application in the OLEV (Orbital Life Extension Extension Vehicle) mission. OLEV is a commercial mission under development by a consortium formed by Swedish Space Corporation, Kayser-Threde and SENER, aimed to extend the operational life of geostationary telecommunication satellites by supplying them control, navigation and guidance services. OLEV is planned to use a set of cameras to determine the angular position and distance to the client satellite during the complete phases of rendez-vous and docking, thus enabling the operation with satellites not equipped with any specific navigational aid to provide support during the approach. The ability to operate with un-equipped client satellites significantly expands the range of applicability of the system under development, compared to other competing video technologies already tested in previous spatial missions, such as the ones described here below.
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PDF链接：
https://arxiv.org/pdf/0807.4478