Infrared and Laser Engineering, Volume. 52, Issue 10, 20230044(2023)

A review of image processing methods in target atmospheric disturbance detection

Weihe Ren, Kang Li, Yue Zhang, Guoxian Zheng, Yun Su, Xuemin Zhang, and Yi Liu
Author Affiliations
  • Beijing Institute of Space Mechanics and Electricity, Beijing 100094, China
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    References(81)

    [1] Hongchen Tang, Peng Xu, Ningjuan Ruan, et al. Detection of hypersonic moving point target. Spacecraft Recovery & Remote Sensing, 39, 46-54(2018).

    [2] Xiaobin Li, Bintao Jiang, Yuanbo Yang et al. A survey on obj- ect detection technology in optical remote sensing images. Spacecraft Recovery & Remote Sensing, 40, 95-104(2019).

    [4] Bo Chen, Wanping Li. Error compensation for sub-pixel displacement estimation in cross-correlation particle image velocimetry(PIV). Journal of Computer—Aided Design & Computer Graphics, 23, 1896-1901(2011).

    [5] [5] Wang Tian. Research on particle image velocity measurement technology based on PIVPTV hybrid algithm [D]. Nanjing: Nanjing University of Science Technology, 2017. (in Chinese)

    [16] [16] Sahu S, Adhikari G, Dey R K. Tracking of object with occlusion based on nmalized cross crelation kalman filter estimation[C]2021 2nd International Conference on Range Technology (ICT). IEEE, 2021: 15.

    [18] [18] Wei Jiaqi. Autonomous velocity measurement positioning technology based on improved optical flow algithm[D]. Taiyuan: Nth University of China, 2022. (in Chinese)

    [21] [21] Bouguet J Y. Pyraal implementation of the affine lucas kanade feature tracker deion of the algithm[EBOL]. [20230201]. https:robots.stanfd.educs223b04algo_tracking.pdf.

    [22] [22] Sundberg P, Brox T, Maire M, et al. Occlusion boundary detection figureground assignment from optical flow[C]CVPR 2011. IEEE, 2011: 22332240.

    [23] [23] Volz S, Bruhn A, Valgaerts L, et al. Modeling tempal coherence f optical flow[C]2011 International Conference on Computer Vision. IEEE, 2011: 11161123.

    [24] [24] Sundaram N, Brox T, Keutzer K. Dense point trajecties by gpuaccelerated large displacement optical flow[C]European Conference on Computer Vision. Berlin, Heidelberg: Springer, 2010: 438451.

    [26] [26] Hu Y, Song R, Li Y. Efficient coarsetofine patchmatch f large displacement optical flow[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2016: 57045712.

    [27] [27] Maurer D, Bruhn A. Proflow: Learning to predict optical flow[EBOL]. (20180603)[20230201]. https:arxiv.gabs1806.00800.

    [28] [28] Yin Z, Shi J. Geo: Unsupervised learning of dense depth, optical flow camera pose[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2018: 19831992.

    [30] [30] Hur J, Roth S. Iterative residual refinement f joint optical flow occlusion estimation[C]Proceedings of the IEEECVF Conference on Computer Vision Pattern Recognition, 2019: 57545763.

    [31] [31] Fischer P, Dosovitskiy A, Ilg E, et al. Flow: Learning optical flow with convolutional wks[EBOL]. (20150426)[20230201]. https:arxiv.gabs1504.06852.

    [32] [32] Ilg E, Mayer N, Saikia T, et al. Flow 2.0: Evolution of optical flow estimation with deep wks[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2017: 24622470.

    [33] [33] Sun D, Yang X, Liu M Y, et al. PWC: CNNs f optical flow using pyra, warping, cost volume[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2018: 89348943.

    [34] [34] Hofinger M, Bulò S R, Pzi L, et al. Improving optical flow on a pyra level[C]European Conference on Computer Vision. Cham: Springer, 2020: 770786.

    [35] [35] Zhao S, Sheng Y, Dong Y, et al. Maskflow: Asymmetric feature matching with learnable occlusion mask[C]Proceedings of the IEEECVF Conference on Computer Vision Pattern Recognition, 2020: 62786287.

    [36] Huasong Wang, Haiyan Jia. A ship target image recognition method based on inter-frame difference algorithm. Infrared, 41, 45-48(2020).

    [39] [39] Fan X, Cheng Y, Fu Q. Moving target detection algithm based on Susan edge detection frame difference[C]2015 2nd International Conference on Infmation Science Control Engineering. IEEE, 2015: 323326.

    [40] B Du, Y Sun, S Cai, et al. Object tracking in satellite videos by fusing the kernel correlation filter and the three-frame-difference algorithm. IEEE Geoscience and Remote Sensing Letters, 15, 168-172(2017).

    [42] [42] Gao F, Lu Y. Moving target detection using interframe difference methods combined with texture features lab col space[C]2019 International Conference on Artificial Intelligence Advanced Manufacturing (AIAM). IEEE, 2019: 7681.

    [43] [43] Shang L, You F, Wang S. Improved fiveframe difference method optimized update rate f codebook target detection[C]2019 IEEE International Conference on Power, Intelligent Computing Systems (ICPICS). IEEE, 2019: 324328.

    [47] [47] Li Zhizhong. Research on moving objects detection based on background subtraction [D]. Tianjin: Civil Aviation University of China, 2015. (in Chinese)

    [54] E Dong, B Han, H Jian, et al. Moving target detection based on improved Gaussian mixture model considering camera motion. Multimedia Tools and Applications, 79, 7005-7020(2020).

    [56] [56] Liu J. Application of pixel drift denoising algithm in optimizing gaussian mixture model[C]2022 2nd International Conference on Bioinfmatics Intelligent Computing, 2022: 457464.

    [59] [59] Wang H, Wang Q, Li Y, et al. An illuminationrobust algithm based on visual background extract f moving object detection[C]2015 10th Asian Control Conference (C). IEEE, 2015: 16.

    [62] [62] Zhao D, Tan J, Yang W, et al. An improved VIBE algithm f fast suppression of ghosts static objects[C]2018 IEEE International Conference on Mechatronics Automation (ICMA). IEEE, 2018: 889893.

    [63] J Zuo, Z Jia, J Yang, et al. Moving object detection in video sequence images based on an improved visual background extraction algorithm. Multimedia Tools and Applications, 79, 29663-29684(2020).

    [64] [64] Yang M, Chu Q. Static scene target detection based on VIBE algithm[C]2021 2nd International Seminar on Artificial Intelligence, wking Infmation Technology (AINIT). IEEE, 2021: 169174.

    [65] [65] Liu K, Zhang J. Moving object detection based on improved ViBe algithm[C]RealTime Image Processing Deep Learning 2021. SPIE, 2021, 11736: 154160.

    [66] [66] Houhou I, Zitouni A, Ruichek Y, et al. Improving ViBebased background subtraction techniques using RGBD infmation[C]2022 7th International Conference on Image Signal Processing their Applications (ISPA). IEEE, 2022: 16.

    [69] [69] Guo Wenyue, Zheng Xin, He Wei, et al. Moving target detection based on patrol UAV[C]2021 7th International Conference on Computing Artificial Intelligence, 2021: 2127.

    [72] [72] Wang S, Zhou Y, Bai F, et al. Improved ViBe algithm based on multiframe combined with adaptive threshold[C]Journal of Physics: Conference Series. IOP Publishing, 2022, 2303(1): 012021.

    [73] [73] Song B, Wang B. An improved vibe algithm of dual background model f quickly suppressing ghost images[C]International Conference on Neural wks, Infmation, Communication Engineering (NNICE). SPIE, 2022, 12258: 290295.

    [75] [75] Zhang Q, Wei L, Li T. An improved ViBe method f motion target detection[C]2022 2nd International Conference on Computer, Control Robotics (ICCCR). IEEE, 2022: 258262.

    [81] [81] Wei D, Jing Z, Pan H. Moving vehicle detection in satellite video via background subtraction globallocal features fusion Faster RCNN[C]International Conference on Aerospace System Science Engineering. Singape: Springer, 2023: 197210.

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    Weihe Ren, Kang Li, Yue Zhang, Guoxian Zheng, Yun Su, Xuemin Zhang, Yi Liu. A review of image processing methods in target atmospheric disturbance detection[J]. Infrared and Laser Engineering, 2023, 52(10): 20230044

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    Paper Information

    Category: Image processing

    Received: Feb. 1, 2023

    Accepted: --

    Published Online: Nov. 21, 2023

    The Author Email:

    DOI:10.3788/IRLA20230044

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