环境特征与散射特性融合的PolSAR飞机目标检测

doi:10.3969/j.issn.1001-506X.2020.10.11

Abstract

Abstract:

In order to solve the problem of aircraft target detection by polarimetric synthetic aperture radar (PolSAR) image in complex scene. A PolSAR aircraft target detection method based on the fusion of target environmental feature and scattering characteristics is proposed. Firstly, the polarimetric whitening filter (PWF) map is used to extract the suspected aircraft target which is converted into super-pixels to obtain a mixed image. Then, after polarimetric decomposition and classification, a new environmental feature is constructed and fused with the scattering characteristics to obtain the aircraft target detection feature. Threshold discrimination is used for aircraft target detection. Finally, the testing data collected by the AIRSAR and UAVSAR systems is used for experiments, and compared with other detection methods. The experimental results indicate that the false alarms and missing alarms generated by the proposed method are reduced and the detection results are much better compared with the existing methods.

Key words: polarimetric synthetic aperture radar (PolSAR), aircraft target detection, polarimetric whitening filter (PWF), environmental feature, scattering characteristics

CLC Number:

TP753

Ping HAN, Bo ZHOU, Bin LU, Binbin HAN. Aircraft target detection of PolSAR based on the fusion of environmental feature and scattering characteristics[J]. Systems Engineering and Electronics, 2020, 42(10): 2231-2238.

Figures/Tables 11

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References 19

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样本标号	飞机		建筑物		跑道		海水		森林
样本标号	坐标	\|γ\|	坐标	\|γ\|	坐标	\|γ\|	坐标	\|γ\|	坐标	\|γ\|
1	(31, 157)	0.918 2	(20, 121)	0.731 6	(73, 266)	0.515 8	(141, 18)	0.604 0	(78, 45)	0.027 3
2	(37, 190)	0.925 9	(107, 203)	0.992 4	(89, 201)	0.306 8	(165, 54)	0.540 5	(103, 81)	0.018 9
3	(38, 195)	0.936 0	(27, 117)	0.725 6	(110, 143)	0.295 1	(190, 9)	0.324 2	(187, 202)	0.088 1
4	(38, 199)	0.936 2	(119, 281)	0.808 9	(43, 192)	0.663 4	(151, 6)	0.512 8	(199, 224)	0.089 9
5	(96, 188)	0.927 5	(31, 274)	0.859 1	(36, 69)	0.412 2	(189, 23)	0.462 5	(16, 321)	0.102 3

场景名称	场景大小	数据采集系统	方法	N_rt	N_dt	N_fa	N_ma	FoM
Half-Moon-bay区域	401×830	AIRSAR	本文	2	2	1	0	0.667
			文献[7]	2	2	22	0	0.083
			文献[8]	2	2	7	0	0.222
Kahului airport区域	203×346	UAVSAR	本文	5	5	3	0	0.625
			文献[7]	5	5	16	0	0.238
			文献[8]	5	4	4	1	0.445
Hilo airport区域	323×645	UAVSAR	本文	8	7	1	1	0.778
			文献[7]	8	4	27	4	0.114
			文献[8]	8	6	13	2	0.286
Kaneohe Bay区域1	389×352	UAVSAR	本文	28	24	4	4	0.750
			文献[7]	28	10	72	18	0.100
			文献[8]	28	17	26	11	0.315
Kaneohe Bay区域2	501×701	UAVSAR	本文	28	24	5	4	0.727
			文献[7]	28	10	134	18	0.062
			文献[8]	28	17	55	11	0.205
Kona airport区域	501×413	UAVSAR	本文	15	13	14	2	0.448
			文献[7]	15	6	17	9	0.188
			文献[8]	15	13	6	2	0.619

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Aircraft target detection of PolSAR based on the fusion of environmental feature and scattering characteristics

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