Machine learning fusion multi-source data features for classification prediction of lunar surface geological units

HIGHLIGHTS

• who: Wei Zuo et al. from the Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Sciences, Beijing, China have published the Article: Machine Learning Fusion Multi-Source Data Features for Classification Prediction of Lunar Surface Geological Units, in the Journal: (JOURNAL) of 11/Oct/2022
• what: The authors summarize the work of this study and directions for future work are provided. In this study, the target classification of geological units was evaluated using a confusion matrix, accuracy, precision, recall and f1-score. According to further analysis of the classification evaluation report of . . .
  

   

  

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