An Improved Correlation Filtering Method for Tracking Maritime Small Targets of GF-4 Staring Satellite Sequence Images
Continuous, accurate and real-time earth observation plays an increasingly important role in battlefield situation awareness, environmental monitoring and many other fields. In this paper, GF-4 staring satellite’s sequence images are taken as the research objects, and its features such as...
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10820317/ |
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| author | Deyang Zhang Yao Xu Haimin Hu |
| author_facet | Deyang Zhang Yao Xu Haimin Hu |
| author_sort | Deyang Zhang |
| collection | DOAJ |
| description | Continuous, accurate and real-time earth observation plays an increasingly important role in battlefield situation awareness, environmental monitoring and many other fields. In this paper, GF-4 staring satellite’s sequence images are taken as the research objects, and its features such as “short imaging interval, long image sequence and high resolution” are used to solve the tracking problem of large and medium ships at sea. Using the target information, the dark-channel background modeling method and multi-scale Retinex illumination algorithm are improved to achieve target enhancement. The multi-scale features of the target based on time and space information are extracted, and the target tracking is realized by improved kernel correlation filtering algorithm. By comprehensively utilizing unscented Kalman filter model and target significance features, tracking results are optimized to improve tracking accuracy. The experimental results show that the proposed algorithm can track dim and small targets in the staring satellite sequence images effectively, and it has reference significance for the application of similar high-precision satellites. |
| format | Article |
| id | doaj-art-98f138d30ec34bdba4d9c810e9cc7d8a |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
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| series | IEEE Access |
| spelling | doaj-art-98f138d30ec34bdba4d9c810e9cc7d8a2025-01-10T00:01:44ZengIEEEIEEE Access2169-35362025-01-01135424543510.1109/ACCESS.2025.352554810820317An Improved Correlation Filtering Method for Tracking Maritime Small Targets of GF-4 Staring Satellite Sequence ImagesDeyang Zhang0https://orcid.org/0009-0004-3884-5735Yao Xu1https://orcid.org/0009-0000-0995-4909Haimin Hu2https://orcid.org/0009-0003-0960-5030PLA Army Academy of Artillery and Air Defense, Zhengzhou Campus, Zhengzhou, ChinaPLA Army Academy of Artillery and Air Defense, Hefei, ChinaPLA Army Academy of Artillery and Air Defense, Zhengzhou Campus, Zhengzhou, ChinaContinuous, accurate and real-time earth observation plays an increasingly important role in battlefield situation awareness, environmental monitoring and many other fields. In this paper, GF-4 staring satellite’s sequence images are taken as the research objects, and its features such as “short imaging interval, long image sequence and high resolution” are used to solve the tracking problem of large and medium ships at sea. Using the target information, the dark-channel background modeling method and multi-scale Retinex illumination algorithm are improved to achieve target enhancement. The multi-scale features of the target based on time and space information are extracted, and the target tracking is realized by improved kernel correlation filtering algorithm. By comprehensively utilizing unscented Kalman filter model and target significance features, tracking results are optimized to improve tracking accuracy. The experimental results show that the proposed algorithm can track dim and small targets in the staring satellite sequence images effectively, and it has reference significance for the application of similar high-precision satellites.https://ieeexplore.ieee.org/document/10820317/Staring satellitesequential imagetarget trackingcorrelation filtering |
| spellingShingle | Deyang Zhang Yao Xu Haimin Hu An Improved Correlation Filtering Method for Tracking Maritime Small Targets of GF-4 Staring Satellite Sequence Images IEEE Access Staring satellite sequential image target tracking correlation filtering |
| title | An Improved Correlation Filtering Method for Tracking Maritime Small Targets of GF-4 Staring Satellite Sequence Images |
| title_full | An Improved Correlation Filtering Method for Tracking Maritime Small Targets of GF-4 Staring Satellite Sequence Images |
| title_fullStr | An Improved Correlation Filtering Method for Tracking Maritime Small Targets of GF-4 Staring Satellite Sequence Images |
| title_full_unstemmed | An Improved Correlation Filtering Method for Tracking Maritime Small Targets of GF-4 Staring Satellite Sequence Images |
| title_short | An Improved Correlation Filtering Method for Tracking Maritime Small Targets of GF-4 Staring Satellite Sequence Images |
| title_sort | improved correlation filtering method for tracking maritime small targets of gf 4 staring satellite sequence images |
| topic | Staring satellite sequential image target tracking correlation filtering |
| url | https://ieeexplore.ieee.org/document/10820317/ |
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