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IEEE/ICACT20220272 Slide.05        [Big Slide]	Oral Presentation
	Method to automatically identify includes two steps: • Features extraction. • Building a machine learning model Features extraction: The original input data of the flying target include coordinates, heading, speed, time, and 3/A code (that information is only at an exact time). This information is too detailed, hence not suitable for being the feature of the data. As such, we need to generalize this information through the feature extraction process. 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. The set of class labels includes: military, domestic, transit, and international. Our machine learning method is Random Forest, which is built by ensemble decision trees.

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