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A new image transmission compression approach based on Beidou navigation satellite system on the Open Sea

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Abstract

In order to solve the problem that a great amount of image information need to be transmitted on the mariculture of open sea and Beidou Navigation Satellite System (BDS) has the limited transmitting capability, this paper proposes a new compression approach to transmit image using BDS, i.e., the variable sequence progressive compression approach (VSPC). Firstly, by performing matrix operation and difference component extraction on the binary stream data, the data quantity is reduced. Then, the data quantity is further reduced by using the iterative compression approach. The simulation results show that the proposed approach can effectively reduce the amount of transmitted data, reduce the compression ratio and improve the data transmission efficiency under the premise of ensuring the same image quality by comparing with the traditional Huffman and DCT (Discrete Cosine Transform) algorithms.

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References

  1. Han ZZ (2019) Computer vision-based agriculture engineering. CRC Press, Taylor & Francis Group, New York, ISBN: 9780367254308

    Google Scholar 

  2. Richard S, Patenaude Y, Markland P, Dallaire J, Ménard F, Dupessey V (2017) The Inmarsat 4 antenna feed array, In: International symposium on antenna technology & applied electromagnetics, July 31–Aug 2, Canada

  3. Arie K, Mark S, Kim-Kwang RC, Nhien-An LK (2018) Digital forensic investigation of two-way radio communication equipment and services. Digit Investig 26:S77–S86

    Article  Google Scholar 

  4. Abdallah A (2014) An investigation of short range electromagnetic wave communication for underwater environmental monitoring utilising a sensor network platform. Dissertation, Liverpool John Moores University

  5. Al-Zaidi R, Woods JC, Al-Khalidi M, Alheeti KM (2017) Next generation marine data networks in an IoT environment, In: Second international conference on fog & mobile edge computing, IEEE, Valencia, Spain

  6. Li H, Zhao M, Wang J (2016) A dynamic channel assignment scheme of multi-beam satellite mobile communication system in shadowed fading channel. Telecommun Eng 56(6):618–623

    Google Scholar 

  7. Hu QS, Xiang P, Zhang HC, Tian H, Chen LL, Li J (2018) Construction and test of microwave communication system for offshore marine instrument testing field. Meas Control Technol 37(10):59–64

    Google Scholar 

  8. Li HP, Bian SF (2011) The direct calculating formulae for transformations between authalic latitude function and isometric latitude. Geomat Inf Sci Wuhan Univ 36(7):843–846

    Google Scholar 

  9. Bian SF, Hu YF, Ji B (2017) Research status and prospect of GNSS anti-spoofing technology. Sci Sinica 47(3):275–287

    Google Scholar 

  10. Sun L, Li HP, Zhang ZH (2016) Positioning performance simulation analysis of BeiDou regional navigation satellite system and GPS. Ship Electron Eng 36(7):76–80

    Google Scholar 

  11. Xie J, Liu T (2013) Research on technical development of BeiDou navigation satellite system. In: Proceedings of the 4th China satellite navigation conference, May 13–May 17, China.

  12. Zheng HY, Wang RC, Yu ZB, Wang N, Gu ZR, Zheng B (2017) Automatic plankton image classification combining multiple view features via multiple kernel learning. BMC Bioinf 18(S16):570

    Article  Google Scholar 

  13. Tang QH, Bian SF, Li HP (2016) Equipment remote support platform based on BeiDou short-message communication. Ship Electron Eng 36(6):96–98

    Google Scholar 

  14. Cardullo MW (2015) Maritime satellite service. J Spacecr Rocket 5(12):1479–1482

    Article  Google Scholar 

  15. Fu W, Yang Y, Qin Z, Huang GW (2018) Real-time estimation of BDS/GPS high-rate satellite clock offsets using sequential least squares. Adv Space Res 62(2):477–487

    Article  Google Scholar 

  16. Zhou WZ, Mi JZ, Li DH, Fang SS, Chen Z, Yu MY (2017) Comparison between three interpolation methods of BDS/GPS pseudo-range differential correctionl. J Navig Position 5(2):79–85

    Google Scholar 

  17. Odolinski R, Teunissen PJG, Odijk D (2015) Combined BDS, Galileo, QZSS and GPS single-frequency RTK. GPS Solutions 19(1):151–163

    Article  Google Scholar 

  18. Shi C, Fan L, Li M, Liu ZZ, Gu SF, Zheng SM, Song WW (2016) An enhanced algorithm to estimate BDS satellite’s differential code biases. J Geod 90(2):161–177

    Article  Google Scholar 

  19. Khan A, Khan A, Khan M, Uzair M (2017) Lossless image compression: application of bi-level burrows wheeler compression algorithm (BBWCA) to 2-D data. Multimed Tools Appl 76(10):12391–12416

    Article  Google Scholar 

  20. Antony A, Sreelekha G (2017) HEVC-based lossless intra coding for efficient still image compression. Multimed Tools Appl 76(2):1639–1658

    Article  Google Scholar 

  21. Visual China, https://www.vcg.com/

  22. White S, Kale LV (2018) Optimizing point-to-point communication between adaptive MPI endpoints in shared memory. Concurr Comput Pract E. https://doi.org/10.1002/cpe.4467

  23. Imani M, Braga-Neto UM (2018) Point-based methodology to monitor and control gene regulatory networks via noisy measurements. IEEE Trans Control Syst Technol 27:1–13

    Google Scholar 

  24. Laizhou Mingbo Aquatic Products Co., Ltd, Laizhou City, Shandong Province, China, http://www.mbaquatic.cn/

Download references

Acknowledgements

The research work is financially supported by the National Natural Science Foundation of China (41674037; 61374126). The authors would like to acknowledge the support provided by the National Natural Science Foundation of China and the reviewers for their constructive suggestions to improve the quality of this paper.

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao, Shandong, China

    Zhipeng Guo, Juan Li, Chao Huang & Hongwei Gao

  2. College of Science and Information, Qingdao Agricultural University, Qingdao, Shandong, China

    Ziku Wu

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  1. Zhipeng Guo
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  2. Juan Li
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  3. Ziku Wu
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  4. Chao Huang
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  5. Hongwei Gao
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Correspondence to Juan Li.

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Guo, Z., Li, J., Wu, Z. et al. A new image transmission compression approach based on Beidou navigation satellite system on the Open Sea. Multimed Tools Appl 79, 14919–14931 (2020). https://doi.org/10.1007/s11042-019-08357-8

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  • DOI: https://doi.org/10.1007/s11042-019-08357-8

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