Infrared small target detection using tri-layer window local contrast

Jinhui Han; Yawei Jiang; Xiaojian Zhang; Kun Liang; Zhizheng Li; Xinghao Dong; Nan Li

doi:10.3788/IRLA20200146

Journals >Infrared and Laser Engineering >Volume 50 >Issue 2 >Page 20200146 > Article

Infrared and Laser Engineering
Vol. 50, Issue 2, 20200146 (2021)

Infrared small target detection using tri-layer window local contrast

Jinhui Han¹, Yawei Jiang¹, Xiaojian Zhang¹, Kun Liang², Zhizheng Li¹, Xinghao Dong¹, and Nan Li¹

Author Affiliations

¹College of Physics and Telecommunication Engineering, Zhoukou Normal University, Zhoukou 466001, China

²School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China

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DOI: 10.3788/IRLA20200146 Cite this Article

Jinhui Han, Yawei Jiang, Xiaojian Zhang, Kun Liang, Zhizheng Li, Xinghao Dong, Nan Li. Infrared small target detection using tri-layer window local contrast[J]. Infrared and Laser Engineering, 2021, 50(2): 20200146 Copy Citation Text

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Fig. 1. [in Chinese]

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Fig. 2. [in Chinese]

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Fig. 3. [in Chinese]

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Fig. 4. [in Chinese]

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Fig. 5. [in Chinese]

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Fig. 6. [in Chinese]

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Seq.	Frames	Resolution	Target size	Target type
1	200	320×240	7×5 - 4×3	Plane
2	200	320×256	3×3	Plane
3	200	320×256	2×3 - 3×4	Plane
4	300	256×256	3×3 - 3×4	Unmanned aerial vehicle
5	100	256×256	5×5 - 5×7	Ships
6	200	320×256	3×3	Simulated

Table 1. [in Chinese]

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Seq.	Target	DoG	ILCM	NLCM	WLDM	MPCM	RLCM	MDTDLMS	DLCM	Proposed
1	1	6.2885	7.2875	10.1899	18.5764	7.6446	15.7705	51.2914	129.7833	111.1994
2	1	9.3889	17.0028	30.2405	45.1927	9.5588	17.6701	101.2353	444.8878	209.7027
3	1	13.9985	46.9499	44.1210	96.6349	8.3706	20.1072	134.0081	346.6128	234.0280
4	1	1.1451	4.4645	5.5739	6.6120	1.8120	3.8397	12.7133	49.7060	20.0574
5	1	8.4327	4.4035	0.30477	38.6412	8.3807	8.1419	35.3682	144.0714	42.6344
	2	6.0860	14.0724	7.6629	34.1497	6.4653	7.0714	44.1577	115.3426	53.5452
	3	5.9508	3.5529	2.8184	19.3874	8.9205	6.5915	46.3951	72.3783	48.1778
	4	5.3314	3.4226	0.0654	18.1551	6.9744	6.5919	37.2507	60.5618	36.5833
6	1	1.1238	2.0236	2.6389	0.7468	2.6805	7.1062	0.6750	0.0000	133.8833

Table 2. [in Chinese]

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Seq.	DoG	ILCM	NLCM	WLDM	MPCM	RLCM	MDTDLMS	DLCM	Proposed
1	2.1241	33.9486	1.4121	681.6723	0.5767	6.1397	3.4236E3	6.8681E3	5.2603E3
2	7.1437	94.5928	0.1103	39.7668	0.0299	15.3719	1.8704E5	8.1327E5	3.8348E5
3	5.7067	46.3694	0.0220	22.8578	0.0192	15.1353	3.8940E5	1.0026E6	6.7702E5
4	0.4502	6.9512	0.0567	37.5616	0.1257	2.2033	1.8657E3	7.2556E3	2.9298E3
5	2.1606	29.8661	0.6584	536.9486	0.7421	5.2646	2.3261E3	6.0830E3	2.8033E3
6	0.6452	16.4929	0.4706	44.9468	0.4048	4.1212	690.4329	6.7822E3	2.6697E3

Table 3. [in Chinese]

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Seq.	DoG	ILCM	NLCM	WLDM	MPCM	RLCM	MDTDLMS	DLCM	Proposed
1	0.2323	0.0836	0.0761	4.1925	2.2050	1.7396	19.1109	0.7723	0.9346
2	0.2535	0.0766	0.0688	4.6120	2.2460	1.9651	22.4699	0.8569	1.0432
3	0.2620	0.1012	0.0724	4.7081	2.2172	2.0232	20.8269	0.8398	0.9806
4	0.2324	0.0969	0.0893	3.8090	1.9081	1.5979	18.3858	0.6757	0.8096
5	0.2098	0.0733	0.0630	3.9777	1.7802	1.5662	18.3468	0.6748	0.7443
6	0.2531	0.0789	0.0671	4.9707	2.4189	2.0438	21.8442	0.8618	0.9469

Table 4. [in Chinese]

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