Acta Geodaetica et Cartographica Sinica ›› 2025, Vol. 54 ›› Issue (2): 262-271.doi: 10.11947/j.AGCS.2025.20240143

• Marine Survey • Previous Articles    

Three-dimensional sub-bottom profiler sonar horizon picking with structural feature constraints

Shaobo LI1,2,3(), Jianhu ZHAO4,5, Aixue WANG4,5(), Dong DING6, Yunlong WU1,3   

  1. 1.School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China
    2.Key Laboratory of Submarine Geosciences, Ministry of Natural Resources, Hangzhou 310012, China
    3.Hubei Key Laboratory of Regional Ecology and Environmental Change, China University of Geosciences, Wuhan 430074, China
    4.School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
    5.Institute of Marine Science and Technology, Wuhan University, Wuhan 430079, China
    6.College of Marine Geosciences, Ocean University of China, Qingdao 266100, China
  • Received:2024-04-11 Published:2025-03-11
  • Contact: Aixue WANG E-mail:lishaobo@cug.edu.cn;axwang@sgg.whu.edu.cn
  • About author:LI Shaobo (1995—), male, PhD, associate professor, majors in marine surveying and mapping. E-mail: lishaobo@cug.edu.cn
  • Supported by:
    The National Natural Science Foundation of China(42304049);China Postdoctoral Science Foundation(2023M743282);Hubei Provincial Natural Science Foundation of China(2023AFB017);The Key Laboratory of Submarine Geosciences, Ministry of Natural Resources(KLSG2406)

Abstract:

Three-dimensional sub-bottom profiler (3D SBP) makes up for the deficiency of two-dimensional sub-bottom profile in the spatial coverage of horizontal imaging, and makes it possible to obtain 3D information of sub-bottom with high quality. However, at present, the interference of scattered echoes in sub-bottom is serious, the spatial changes of horizons are complex, and the traditional methods can only achieve two-dimensional horizon picking and it is difficult to express the three-dimensional spatial distribution of sub-bottom. Therefore, a three-dimensional reflector structure enhancement (RSE3D) algorithm based on plate-like and non-vertical structural features is proposed to improve the effect of horizon picking. Firstly, a volume data generation method considering the spatial distribution of sampling points is presented to realize the 3D sub-bottom profile data generation. Then, the RSE3D algorithm is proposed by approximating the formation structure as a plate structure and taking into account the non-vertical structural features. The method can effectively suppress the echo interference such as scattering and highlight the effective information. On the basis of the enhanced processing results, the horizon picking is finally realized by using the threshold method. Experimental verification and analysis show the index values of horizon picking are better than 80%, which represents the superiority of the proposed algorithm in horizon picking.

Key words: three-dimensional sub-bottom profiler, horizon picking, structural features, enhancement filtering

CLC Number: