Infrared Small Target Detection Using Gradient Differential Anisotropic Gaussian Filtering

No.	Resolution	Number	$R_{S C R}$	Target size	Background type	Scene description
1	261 $\times$ 201	2	3.002	3×3，4×4	Air	Multi-target+complex clouds+highlighted
2	328 $\times$ 220	2	1.710	4×4，5×5	Sea surface	Multi-target+strong clutter+highlighted
3	330 $\times$ 204	1	4.085	5×5	Air	Dark target+high noise+highlight edges
4	320 $\times$ 255	1	2.425	3×3	Air	Dark target+complex cloud+bright edges
5	269 $\times$ 235	1	3.803	5×5	Sea and air	Contour target+strong interference
6	286×188	2	3.977	2×2，3×3	Air	Multi-target+edge target

Table 2. $G_{S C R G}$ and $F_{B S F}$ for different algorithms

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Table 2. $G_{S C R G}$ and $F_{B S F}$ for different algorithms

No.	Index	MLCM	LIG	TTLCM	WSLCM	PSTNN	FKRW	Proposed algorithm
1	$G_{S C R G}$	8.137	61.273	12.571	99.022	100.675	99.874	135.529
1	$F_{B S F}$	1.326	19.189	2.915	10.946	10.762	8.385	38.388
2	$G_{S C R G}$	10.806	13.245	47.743	25.034	27.582	68.739	87.558
2	$F_{B S F}$	0.523	0.466	2.673	0.996	2.875	1.487	18.129
3	$G_{S C R G}$	7.369	1.092	22.301	22.365			197.564
3	$F_{B S F}$	0.092	2.089	0.226	0.179			31.316
4	$G_{S C R G}$	4.995	2.211	8.720	24.757			69.5651
4	$F_{B S F}$	0.653	21.569	0.494	1.286			18.763
5	$G_{S C R G}$	2.922	4.837	40.099	0.046	10.463	37.892	109.515
5	$F_{B S F}$	0.437	0.767	4.116	9.206	3.291	2.351	16.252
6	$G_{S C R G}$	3.426	5.973	32.367	1.724	9.624	25.576	79.263
6	$F_{B S F}$	2.387	4.658	7.384	12.856	5.928	10.592	31.374

Table 3. Real-time comparison of different algorithm
View table
Table 3. Real-time comparison of different algorithm
Algorithm Time
MLCM 0.2175
LIG 0.6075
TTLCM 0.3949
WSLCM 0.9565
PSTNN 0.6652
FKRW 0.1063
Proposed algorithm 0.5911

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Benchen Yang, Wanni Song, Haibo Jin, Simeng Li. Infrared Small Target Detection Using Gradient Differential Anisotropic Gaussian Filtering[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1612003

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