Table 17.

The average results of testing each D experiment on Unseen Drone using R4A and RGA datasets.

Experiment		Performance of the CNN Classifier
		Precision	Recall	F1 Score	Accuracy
D1	R4A	0.9874 ± 0.0041	0.9644 ± 0.0362	0.9753 ± 0.0175	0.9563 ± 0.0300
	RGA	0.9886 ± 0.0028	0.9695 ± 0.0453	0.9784 ± 0.0239	0.9621 ± 0.0400
D2	R4A	0.9916 ± 0.0108	0.9207 ± 0.0559	0.9538 ± 0.0292	0.9208 ± 0.0487
	RGA	0.9989 ± 0.0034	0.9161 ± 0.0878	0.9534 ± 0.0493	0.9229 ± 0.0788
D3	R4A	0.9891 ± 0.0066	0.8581 ± 0.1268	0.9136 ± 0.0730	0.8626 ± 0.1112
	RGA	0.9783 ± 0.0147	0.9738 ± 0.0488	0.9753 ± 0.0260	0.9564 ± 0.0436
D4	R4A	0.9609 ± 0.0148	0.3032 ± 0.1121	0.4508 ± 0.1234	0.3568 ± 0.1011
	RGA	0.0.9645 ± 0.0126	0.4701 ± 0.2160	0.6034 ± 0.2031	0.5049 ± 0.1936
D5	R4A	0.9883 ± 0.0065	0.6850 ± 0.1954	0.7926 ± 0.1408	0.7058 ± 0.1750
	RGA	0.9782 ± 0.0148	0.8579 ± 0.1671	0.9039 ± 0.1059	0.8526 ± 0.1462