精品文档---下载后可任意编辑光电望远镜空间目标测量数据误差修正的开题报告【摘 要】本文以光电望远镜空间目标测量数据的误差修正为探究对象，旨在通过讨论现有测量方法中存在的误差来源及其对数据质量的影响，进一步提出一种有效的误差修正方法。首先，本文介绍了光电望远镜测量数据的来源以及由于自然环境、设备因素等多种因素导致的误差产生原因；其次，介绍了目前常用的误差修正方法，包括传统的手动校准和基于计算机视觉的自动校准等方法，并探讨了这些方法的优缺点；最后，本文提出一种基于深度学习的自动校准方法，并对其进行了初步的实验验证。讨论结果表明，本文提出的基于深度学习的自动校准方法可以有效地修正光电望远镜测量数据中存在的误差，提高数据的精度和准确性，具有较大的应用前景。【关键词】光电望远镜；空间目标；误差修正；深度学习【Abstract】The purpose of this paper is to study the error correction of space target measurement data by optical telescope, aiming to further propose an effective error correction method by studying the sources of errors in existing measurement methods and their impact on data quality.Firstly, this paper introduces the source of optical telescope measurement data and the reasons for error caused by various factors such as natural environment and equipment factors. Secondly, it introduces the commonly used error correction methods, including traditional manual calibration and automatic calibration based on computer vision, and discusses the advantages and disadvantages of these methods. Finally, this paper proposes an automatic calibration method based on deep learning, and conducts preliminary experimental verification on it.The research results show that the automatic calibration method based on deep learning proposed in this paper can effectively correct the errors in the measurement data of optical telescope, and improve the accuracy and accuracy of data, which has broad application prospects.精品文档---下载后可任意编辑【Keywords】Optical telescope；Space target；Error correction；Deep learning
