基于小天体特征的混合固态激光雷达系统地形测绘验证方法
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1.同济大学 测绘与地理信息学院,上海 200092;2.同济大学 上海市航天测绘遥感与空间探测重点实验室,上海 200092;3.北京控制工程研究所 空间光电测量与感知实验室,北京 100190;4.中国空间技术研究院,北京 100094

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中图分类号:

TN958.98

基金项目:

国家自然科学基金项目(42325106、42271455、42221002);上海市教育委员会科研创新计划自然科学重大项目(2023ZKZD30);上海市优秀学术带头人计划(23XD1404100);中央高校基本科研基金


Terrain mapping validation method for a hybrid solid-state LiDAR system based on small celestial body features
Author:
Affiliation:

1.College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China;2.Shanghai Key Laboratory of Space Mapping and Remote Sensing for Planetary Exploration, Tongji University, Shanghai 200092, China;3.Space Optoelectronic Measurement and Perception Lab., Beijing Institute of Control Engineering, Beijing 100190, China;4.China Academy of Space Technology, Beijing 100094, China

Fund Project:

Supported by the National Natural Science Foundation of China (42325106, 42271455, 42221002); the Major Natural Science Projects under the Research and Innovation Program of Shanghai Municipal Education Commission (2023ZKZD30); the Shanghai Academic Research Leader Program (23XD1404100); and the Fundamental Research Funds for the Central Universities of China

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    摘要:

    本文介绍了一种专用于探测快速自转小天体的混合固态激光雷达系统,并根据其多快反镜、单光子面阵探测的特性进行测距原理分析和成像模型构建,为评估其在小天体探测中的性能和稳定性,提出一种基于小天体特征外场沙盘的测绘验证方法。结果显示,混合固态激光雷达系统可以在不同工作模式和功率下保持较高的精度,在全球地形测绘模式下分辨率达到1 100×1 100,成像时间为0.86 s,在100 m距离下的测绘精度达到2.86 cm;在步进扫描模式下,其分辨率约为前者的1/7,在34~83 m距离下平均精度达到3.10 cm。

    Abstract:

    A hybrid solid-state LiDAR system specifically designed for detecting rapidly rotating small celestial bodies was introduced. The ranging principle was analyzed and an imaging model was designed based on the characteristics of the fast steering mirrors and the single-photon array detector. To evaluate the performance and stability of the LiDAR system in small celestial body detection, a mapping validation method based on an outdoor terrain model simulating small celestial body features was proposed. The results show that the hybrid solid-state LiDAR system maintains high accuracy under different operating modes and power levels. In the global terrain mapping mode, the resolution was 1 100×1 100, and the imaging time was 0.86 s. The mapping accuracy was 2.86 cm at a distance of 100 m. In the step-scanning imaging mode, the resolution was approximately one-seventh that of the global terrain mapping mode, and the average accuracy reached 3.10 cm at distances ranging from 34 m to 83 m.

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张庆藩,谢欢,晏雄锋,金雁敏,陈杰,奚源廷,谢俊,马月超,朱飞虎,童小华.基于小天体特征的混合固态激光雷达系统地形测绘验证方法[J].红外与毫米波学报,2025,44(6):992~1000]. ZHANG Qing-Fan, XIE Huan, YAN Xiong-Feng, JIN Yan-Min, CHEN Jie, XI Yuan-Ting, XIE Jun, MA Yue-Chao, ZHU Fei-Hu, TONG Xiao-Hua. Terrain mapping validation method for a hybrid solid-state LiDAR system based on small celestial body features[J]. J. Infrared Millim. Waves,2025,44(6):992~1000.]

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  • 收稿日期:2025-03-29
  • 最后修改日期:2025-11-14
  • 录用日期:2025-04-30
  • 在线发布日期: 2025-11-07
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