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Building a machine learning model:
After extracting features, the next step is to build a machine learning model to automatically identify the class label of the flying targets.
Random Forest technique is proposed in this research to reduce the variances for the decision tree technique. Random Forest uses a combination of decision trees instead of only single one to improve the stability and accuracy of the classification result
The principle of Random forest to identify flying targets:
• Extract features of the flying targets
• Traverse features through each decision tree of the Random Forest.
• Each decision tree will give a vote for a class label with the input data.
• Aggregate the vote on each decision tree.
• The class label which received the most votes is the class label of the flying target. |
IEEE/ICACT20220272 Slide.11
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