基于时间信息加权的ViSAR目标阴影跟踪算法

doi:10.12305/j.issn.1001-506X.2023.10.09

Abstract

Abstract:

Target shadow-based tracking technology is an important method for target detection in video synthetic aperture radar (ViSAR). However, there are some problems in ViSAR data, e.g., unclear target characteristics, irregular change of target characteristics with time, strong speckle noise interference, etc., which makes ViSAR target shadow tracking less accurate. Therefore, a robust ViSAR target shadow tracking algorithm based on time information weighting is proposed in this paper. Aiming at the problem that the target characteristics are not obvious and change irregularly with time, the adaptive scale mean shift (ASMS) tracking algorithm is introduced to ViSAR target shadow tracking. Meanwhile, the characteristics of historical frames are added to the background ratio weighted (BRW) technology of the ASMS algorithm. Target features are integrated with the time information weighted correction to the scale regularity term. Aiming at the strong interference of speckle noise, the preprocessing step of local median filtering operation is added to the ASMS algorithm to smooth the noise without increasing the amount of calculation. The experimental results of tracking target shadows with different sizes and different motion states on two kinds of ViSAR dataset show that, compared with the existing high-performance tracking algorithms, the proposed algorithm improves the tracking accuracy while ensuring real-time performance, and does not require additional training samples, which has good engineering application value.

Key words: video synthetic aperture radar (ViSAR), object tracking, adaptive scale mean shift (ASMS), time information weighting, median filtering

CLC Number:

TP753

Yankun HUANG, Yuhui DENG, Guangcai SUN, Mengdao XING. Shadow tracking algorithm for ViSAR target based on time information weighting[J]. Systems Engineering and Electronics, 2023, 45(10): 3065-3075.

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References 30

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跟踪器	本文方法	BACF	CCT	CN	DSST	KCC	KCF	SAMF	ASMS
FPS	108.00	46.00	57.00	318.00	108.00	13.00	58.00	3.00	148.00
平均CLE	2.50	86.27	79.82	79.08	80.99	72.56	93.46	89.36	3.63

跟踪器	本文方法	BACF	CCT	CN	DSST	KCC	KCF	SAMF	ASMS
FPS	38.00	16.00	23.00	31.00	8.00	5.00	21.00	1.00	20.00
平均CLE	8.34	23.82	68.45	309.78	344.27	33.82	53.60	29.44	17.34

跟踪器	本文方法	BACF	CCT	CN	DSST	KCC	KCF	SAMF	ASMS
FPS	85.00	20.00	19.00	102.00	36.00	5.00	20.00	1.00	87.00
平均CLE	3.10	411.74	368.03	453.71	380.60	335.30	292.06	180.76	4.17

跟踪器	本文方法	BACF	CCT	CN	DSST	KCC	KCF	SAMF	ASMS
FPS	101.00	16.00	13.00	234.00	50.00	3.00	17.00	1.00	159.00
平均CLE	3.53	262.03	224.45	260.02	255.34	211.12	243.76	136.07	80.25

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Shadow tracking algorithm for ViSAR target based on time information weighting

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