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Moving Ship Target Detection Method for Geostationary Orbit Satellite Panchromatic Image Sequence

Published: 09 January 2024 Publication History

Abstract

Moving target detection in panchromatic image sequences of geostationary orbit satellites remains challenging due to the extremely small size and weak features of the targets, as well as complex background interference. A moving ship target detection method based on single image ship candidate region extraction and sequence image false alarm elimination is proposed. The algorithm extracts the small and weak ship target candidate region by sliding patch and double threshold segmentation method. Then some false alarms are removed from a single image by using size and morphological features. Finally, pairwise correlation and long-scale association are used to eliminate false alarms and detect moving ships. Experimental results on panchromatic band image sequences of GF-4 geostationary orbit satellite show that the proposed method can accurately detect weak signal moving ship targets under complex interference.

References

[1]
Guo Li, Xianghao Kong, Fengjing Liu, Minlong. Lian. 2016. GF-4 satellite remote sensing technology innovation. Spacecraft Recovery and Remote Sensing, 37, 7-15. https://doi.org/10.3969/j.issn.1009-8518.2016.04.002
[2]
Kopsiaftis Gand Karantzalos K. 2015. Vehicle detection and traffic density monitoring from very high resolution satellite video data. In 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 1881-1884). IEEE. 8. https://doi.org/10.1109/IGARSS.2015.7326160
[3]
Wei Ao, Yanwei Fu, Xiyue Hou. 2019. Needles in a haystack: Tracking city-scale moving vehicles from continuously moving satellite. IEEE Transactions on Image Processing, 29, 1944-1957. https://doi.org/10.1109/tip.2019.2944097
[4]
Yile Luo, Yanping Liang, Ruimin Ke, and Xinhua Luo. 2018. Traffic flow parameter estimation from satellite video data based on optical flow. In Transportation Research Board 97th Annual Meeting (No. 18-02345).
[5]
Junpeng Zhang, Xiuping Jia, Jiankun Hu, Kun Tan. 2021. Moving vehicle detection for remote sensing video surveillance with nonstationary satellite platform. IEEE transactions on pattern analysis and machine intelligence, 44(9), 5185-5198. https://doi.org/10.1109/TPAMI.2021.3066696
[6]
Chao Xiao, Qian Yin, Xinyi Ying, Ruojing Li, Shuanglin Wu, Miao Li, Li Liu, Wei An, and Zhijie Chen. 2021. DSFNet: Dynamic and static fusion network for moving object detection in satellite videos. IEEE Geoscience and Remote Sensing Letters, 19, 1-5. https://doi.org/10.1109/LGRS.2018.2869561
[7]
Yuxuan Li, Licheng Jia, Xu Tang, Xiangrong Zhang, Li Gao. 2019. Weak moving object detection in optical remote sensing video with motion-drive fusion network. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 5476-5479). IEEE. https://doi.org/10.1109/IGARSS.2019.8900412
[8]
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2017. Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis & Machine Intelligence, 39(6), 1137-1149. https://doi.org/10.1109/TPAMI.2016.2577031
[9]
Libo Yao, Yong Liu and You He. 2018. A novel ship-tracking method for GF-4 satellite sequential images. Sensors, 18(7), 2007. https://doi.org /10.3390/s18072007
[10]
Yong Liu, Libo Yao, Wei Xiong, Tian Jing and Zhimin Zhou. 2018. Ship target tracking based on a low-resolution optical satellite in geostationary orbit. International journal of remote sensing, 39(9), 2991-3009. https://doi.org/10.1080/01431161.2018.1437296
[11]
Yong Liu, Libo Yao, Wei Xiong, and Zhimin Zhou. 2018. GF-4 satellite and automatic identification system data fusion for ship tracking. IEEE Geoscience and Remote Sensing Letters, 16(2), 281-285. https://doi.org/10.1109/LGRS.2018.2869561
[12]
Restrepo A, Hincapie G, and Parra A. 1994. On the detection of edges using order statistic filters. In: Image Processing, Icip-94, eds. Proceedings of 1st International Conference on Image Processing. Austin, 1994.308∼312.

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  • (2024)TS-Track: Trajectory Self-Adjusted Ship Tracking for GEO Satellite Image Sequences via Multilevel Supervision ParadigmIEEE Transactions on Geoscience and Remote Sensing10.1109/TGRS.2024.343824562(1-15)Online publication date: 2024

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  1. Moving Ship Target Detection Method for Geostationary Orbit Satellite Panchromatic Image Sequence

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    AAIA '23: Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications
    November 2023
    406 pages
    ISBN:9798400708268
    DOI:10.1145/3603273
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    Published: 09 January 2024

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    Author Tags

    1. Complex background interference
    2. Geostationary orbit satellite remote sensing image sequence
    3. Moving ship detection
    4. Weak small target

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    • (2024)TS-Track: Trajectory Self-Adjusted Ship Tracking for GEO Satellite Image Sequences via Multilevel Supervision ParadigmIEEE Transactions on Geoscience and Remote Sensing10.1109/TGRS.2024.343824562(1-15)Online publication date: 2024

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