Identifying High Area-to-Mass Ratio Space Objects Using Historical Two-Line Element Set

The HAMRTLESeq series of datasets (in WEKA *.arff format) were constructed using RSO's TLE historical data for the time series data set of the HAMR classification. They are used to validate the two hypotheses presented in the paper "Identifying High Area-to-Mass Ratio Space Objects Using Historical Two-Line Element Set, 2019" (authors: Bin Liu, Junfeng Wu, Li Yao.) and forming a machine learning models for HAMR objects recognition.HAMRTLESeq系列数据集采用在轨空间目标（RSO）的两行轨道元素集（Two-Line Element Set，TLE）历史数据构建，属于面向高面质比（High Area-to-Mass Ratio，HAMR）分类的时序数据集，格式为WEKA *.arff格式。该数据集可用于验证2019年发表的论文《利用历史两行轨道元素集识别高面质比空间目标》（作者：刘斌、吴俊峰、姚立）中提出的两项假设，同时可用于构建HAMR目标识别的机器学习模型。