Achievement of Small Target Detection for Sea Ship Based on CFAR-DBN

Table 1

Average precision value (%) of each algorithm under interference background.

Background	Traditional CFAR	BPNN	Faster R-CNN	SSD512	CFAR-DBN
Original background	87.67	87.81	88.92	90.34	91.06
Fuzzy generative graph a	81.24	82.81	83.54	84.06	85.31
Fuzzy generative graph b	80.82	81.25	82.12	83.27	84.63
Fuzzy generative graph c	77.23	78.09	78.64	79.68	80.06
Fuzzy generative graph d	83.40	83.14	84.85	85.17	86.24