Inversion of side scan sonar motion and posture in seabed geomorphology

• Autorzy: Tao W. , Liu Y. , Hu H.

Identyfikatory

DOI

10.1515/pomr-2017-0068

• Języki publikacji: EN

Abstrakty

EN

Side scan sonar measurement platform, affected by underwater environment and its own motion precision, inevitably has posture and motion disturbance, which greatly affects accuracy of geomorphic image formation. It is difficult to sensitively and accurately capture these underwater disturbances by relying on auxiliary navigation devices. In this paper, we propose a method to invert motion and posture information of the measurement platform by using the matching relation between the strip images. The inversion algorithm is the key link in the image mosaic frame of side scan sonar, and the acquired motion posture information can effectively improve seabed topography and plotting accuracy and stability. In this paper, we first analyze influence of platform motion and posture on side scan sonar mapping, and establish the correlation model between motion, posture information and strip image matching information. Then, based on the model, a reverse neural network is established. Based on input, output of neural network, design of and test data set, a motion posture inversion mechanism based on strip image matching information is established. Accuracy and validity of the algorithm are verified by the experimental results.

Słowa kluczowe

EN

side scan sonar; image matching; image fusion; neutral network; motion inversion

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2017
• Tom: S 2
• Strony: 81--88
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Tao W.

• The School of Electronic Information Wuhan University Wuhan Hubei, 430074 China; tel.: [phone]

autor

Liu Y.

• State Key Laboratory of Power Grid Environmental Protection, China Electric Power Research Institute, Wuhan, Hubei, China

autor

Hu H.

• The School of Electronic Information, Wuhan University, Wuhan, Hubei, China

Bibliografia

• 1. Yonggang Zhou, Jingsheng Zhai, Yanchun Liu, Fuming Xiao, Juntao Jia: A bottom coverage estimation model based on trapezium for Multibeam System, Hydrographic Surveying And Charting, vol. 30, no. 2, pp. 15-18, 2010.
• 2. Fucheng Bai: The study on movement compensation new technique and hardware design of multi-beam swath bathymeter, Harbin Engineering University, Harbin, China, 2007.
• 3. Fanling Yang, Xiushan Lu, Jiabiao Li, Jinyun Guo: Correction of Imperfect Alignment of MRU for Multibeam Bathymetry Data, Geomatics and Information Science of Wuhan University, vol. 35, no. 7, pp. 816-820, 2010.
• 4. Peng Wu: Research on synthetic aperture sonar beamforming, Wuhan University of Technology, Wuhan, China, 2009.
• 5. Dongshen Chen, Haiting Yin, Jiyuan Liu, Shuqiu Li, Chunhua Zhang: A study on SAS movement compensation based on an improved DPC algorithm, Signal processing, vol. 23, no. 6, pp. 907-909, 2008.
• 6. Wei Liu, Jiyuan Liu, Chunhua Zhang: Research on the combined SAS motion compensation method based on raw echo data and image data, Chinese journal of scientific instrument, vol. 4, no. 29, pp. 538-543, 2008.
• 7. Weiqing Zhu, Xiaodong Liu, Dongsheng Zhang, Fangsheng Zhang, Gaolin Qin, Zheng Liao, Changle Fang: High Resolution Bathymetric side scan Sonar, Ocean technology, vol. 24, pp. 29-35, 2006.
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• 9. J. James: Sand wave morphology and development in the Outer Bristol Channel (OBel) Sands, Marine And Freshwater Behaviour And Physiology, pp. 163-170, 2008.
• 10. G. Mullins, J. Bird: 3D Sidescan with a Small Aperture: Imaging Microbialites at Pavilion Lake, Ocean 2007, Vancouver, BC, 2007.
• 11. Fanlin Yang, Ziyin Wu, Zhixing Du, Xianglong Jin: Co-registering and fusion of digital information of multibeam sonar and side-scan sonar, Geomatics and Information Science of Wuhan University, vol. 31, no. 8, pp. 740-743, 2006.
• 12. W. Tao, Y. Liu: Edge preserving filter of side scan sonar images with wavelet modulus maxima shift-correlative technique, International Journal of Imaging Systems and Technology, vol. 21, no. 4, pp. 349-355, 2011
• 13. J. M. Augustin, X. Lurton: Image amplitude calibration and processing for seafloor mapping sonars, Europe Oceans 2005, Brest, France, 2005.
• 14. L. Fonseca, C. Brown, B. Calder, L. Mayer, Y. Rzhanov: Angular range analysis of acoustic themes from Stanton Banks Ireland: A link between visual interpretation and multibeam echo sounder angular signatures, Applied Acoustics, vol. 70, no. 10, pp. 1298-1304, 2009.
• 15. W. Tao, J. Zhao, J. Liu, H. Zhang: Study on the Sidescan Sonar Image Matching Navigation Based on SURF, In: Electrical and Control Engineering (ICECE), 2010 International Conference, Wuhan, China, 2010.
• 16. Jianhu Zhao, Aixue Wang, Hongmei Zhang, Xiao Wang: Mosaic method of side-scan sonar strip images using corresponding features. IET Image Processing, vol. 7, no. 6, pp. 616–623, 2013.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).