摘要
在毫米波以及亚毫米波射电天文望远镜台址遴选过程中,为了能够充分地了解候选天文台址的云量信息,设计出应用于野外环境的全天相机系统很有必要.因此根据射电望远镜特点以及野外台址具体状况,方案中创新性地利用行星相机、嵌入式微控制器研制出全时段全天相机.其可在野外利用太阳能长期运行,而且最重要的特点是可实现无人值守、自主运行.在数据处理部分,也创新性地利用深度学习神经网络算法,提取数据特征值,建立机器学习模型库,全自动统计出台址的云量信息,比人工和一般图像处理算法统计效率更高,而且更简单.这些研究为更加全面地评估毫米和亚毫米波射电天文台址提供了重要的参考.
In the process of selecting millimeter/submillimeter wave radio astronomical telescope sites,it is necessary to design an all-sky camera system for use in the field environment in order to fully understand the cloud amount information of candidate observatory sites.Therefore,according to the characteristics of submillimeter wave radio telescopes and the specific conditions of the field sites,this scheme innovatively use the planetary camera and embedded microcontroller to develop a full-time all-sky camera,which can operate in the field for a long time using solar energy,and the most important feature is that it can achieve unmanned and autonomous operation.In the data processing part,the deep learning neural network algorithm is also innovatively used to extract data feature values,establish machine learning model library,and automatically count cloud information of the site,which is more efficient and simpler than manual and general image processing algorithms.These studies provide important references for more comprehensive evaluation of millimeter/submillimeter wave radio observatory sites.
作者
张海龙
逯登荣
孙继先
李积斌
张旭国
ZHANG Hai-long;LU Deng-rong;SUN Ji-xian;LI Ji-bin;ZHAGN Xu-guo(Qinghai Station of Purple Mountain Observatory,Chinese Academy of Sciences,Delingha 817000)
出处
《天文学报》
北大核心
2025年第5期11-21,共11页
Acta Astronomica Sinica
关键词
望远镜:射电
仪器:探测器
方法:测量与评估
技术:图像处理
选址
telescopes:radio
instrumentation:detectors
methods:measurement and evaluation
techniques:image processing
site testing
