Automatic observation and correction method of lunar hyperspectral image | |
Wang, Weidong1,2; Wang, Yihao1,2; An, Lingping1,2; Yu, Can1,2; Wang, Shuang1![]() | |
2022 | |
会议名称 | 2021 International Conference on Signal Processing and Communication Technology, SPCT 2021 |
会议录名称 | International Conference on Signal Processing and Communication Technology, SPCT 2021 |
卷号 | 12178 |
会议日期 | 2021-12-24 |
会议地点 | Tianjin, China |
出版者 | SPIE |
产权排序 | 1 |
摘要 | To realize the long-period and automated data collection of lunar radiation and eliminate the geometric errors of the lunar hyperspectral image during the observation process, this paper proposes a slit-type spectrometer observation method based on the rotating table of the equatorial mount. This method uses a wide field finder-scope to realize automatic moon tracking and positioning; at the same time, it corrects the drift angle and oversampling of the collected raw data. The results show that the full moon situation is the same as the non-full moon situation. This method can effectively find and track the position of the moon's sphere center, and it also corrects the drift and over-sampling of the moon image, realizes accurate and automated long-term observation of the moon, reduces observation errors, and saves observation costs. © 2022 SPIE. |
关键词 | Automatic observation of the moon wide-field finder-scope slit spectrometer geometric error correction |
作者部门 | 光谱成像技术研究室 |
DOI | 10.1117/12.2631853 |
收录类别 | EI |
ISBN号 | 9781510653337 |
语种 | 英语 |
ISSN号 | 0277786X;1996756X |
EI入藏号 | 20221812066246 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/95870 |
专题 | 光谱成像技术研究室 |
通讯作者 | Wang, Shuang |
作者单位 | 1.Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; 2.University of Chinese Academy of Sciences, Beijing; 100049, China |
推荐引用方式 GB/T 7714 | Wang, Weidong,Wang, Yihao,An, Lingping,et al. Automatic observation and correction method of lunar hyperspectral image[C]:SPIE,2022. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Automatic observatio(2145KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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