표 1. | Table 1. 제안된 알고리즘과 기존 기법의 성능 평가 | Performance evaluation of the proposed algorithm and existing methods.

		Precision	Recall	F1 Score	FoM
Image #1	Proposed algorithm	0.81657	0.90185	0.85709	0.74993
	FT CFAR with DBSCAN	0.56428	0.90116	0.694	0.53139
	CA CFAR with DBSCAN	0.5214	0.47633	0.49785	0.33142
Image #2	Proposed algorithm	0.88372	0.84178	0.86224	0.75784
	FT CFAR with DBSCAN	0.61035	0.80116	0.69286	0.53006
	CA CFAR with DBSCAN	0.60958	0.39336	0.47838	0.31439
Image #3	Proposed algorithm	0.95888	0.74825	0.84057	0.72498
	FT CFAR with DBSCAN	0.57293	0.87567	0.69266	0.52983
	CA CFAR with DBSCAN	0.7501	0.34232	0.4701	0.30727
Image #4	Proposed algorithm	0.9418	0.84975	0.89341	0.80736
	FT CFAR with DBSCAN	0.82406	0.8904	0.85597	0.7482
	CA CFAR with DBSCAN	0.78881	0.38639	0.5187	0.35017