Spectroscopy and Spectral Analysis, Volume. 42, Issue 6, 1881(2022)

Classification of 2D Stellar Spectra Based on FFCNN

Ya-kun LU1、*, Bo QIU1、1; *;, A-li LUO2、2;, Xiao-yu GUO1、1;, Lin-qian WANG1、1;, Guan-long CAO1、1;, Zhong-rui BAI2、2;, and Jian-jun CHEN2、2;
Author Affiliations
  • 11. Hebei University of Technology, Tianjin 300400, China
  • 22. National Astronomical Observatory, Chinese Academy of Sciences, Beijing 100012, China
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    Figures & Tables(7)
    Spectral image of LAMOST object
    An image of 2D spectrum
    The structure of FFCNN
    The influence of convolution kernel with different length on the accuracy and the time spent in the model training
    Classification results of all samples in the testing set
    The comparison of classification results of using 2D and 1D spectra
    • Table 1. The precision, recall, F1-score and the accuracy of FFCNN model

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      Table 1. The precision, recall, F1-score and the accuracy of FFCNN model

      FGK
      Precision0.8760.7920.885
      Recall0.7630.9030.742
      F1-score0.8160.8430.807
      Accuracy0.829
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    Ya-kun LU, Bo QIU, A-li LUO, Xiao-yu GUO, Lin-qian WANG, Guan-long CAO, Zhong-rui BAI, Jian-jun CHEN. Classification of 2D Stellar Spectra Based on FFCNN[J]. Spectroscopy and Spectral Analysis, 2022, 42(6): 1881

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    Paper Information

    Category: Research Articles

    Received: May. 2, 2021

    Accepted: --

    Published Online: Nov. 14, 2022

    The Author Email: Ya-kun LU (846296206@qq.com)

    DOI:10.3964/j.issn.1000-0593(2022)06-1881-05

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