首站-论文投稿智能助手
典型文献
Undersea Buried Pipeline Reconstruction Based on the Level Set and Inverse Multiquadric Regularization Method
文献摘要:
The electric inversion technique reconstructs the subsurface medium distribution from acquired data. On the basis of electric inversion, objects buried under the earth or seabed, such as pipelines and unexploded ordnance, are detected and located in a contactless manner. However, the process of accurately reconstructing the shape of the target object is challenging because electric inversion is a nonlinear and ill-posed problem. In this work, we present an inverse multiquadric (IMQ) regularization method based on the level set function for reconstructing buried pipelines. In the case of locating underwater objects, the unknown inversion area is split into two parts, the background and the pipeline with known conductivity. The geometry of the pipeline is represented based on the level set function for achieving a noiseless inversion image. To obtain a binary image, the IMQ is used as the regularization term, which 'pushes' the level set function away from 0. We also provide an appropriate method to select the bandwidth and regularization pa-rameters for the IMQ regularization term, resulting in reconstructed images with sharp edges. The simulation results and analysis show that the proposed method performs better than classical inversion methods.
文献关键词:
作者姓名:
SHANG Wenjing;XUE Wei;XU Yidong;MAKAROV Sergey B.;LI Yingsong
作者机构:
College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China;Key Laboratory of Advanced Marine Communication and Information Technology,Ministry of Industry and Information Technology,Harbin 150001,China;Yantai Research Institute and Graduate School of Harbin Engineering University,Yantai 264006,China;Institute of Physics,Nanotechnology and Telecommunications,Higher School of Applied Physics and Space Technologies,Peter the Great St.Petersburg Polytechnic University,St.Petersburg 195251,Russia
引用格式:
[1]SHANG Wenjing;XUE Wei;XU Yidong;MAKAROV Sergey B.;LI Yingsong-.Undersea Buried Pipeline Reconstruction Based on the Level Set and Inverse Multiquadric Regularization Method)[J].中国海洋大学学报(自然科学英文版),2022(01):101-112
A类:
Undersea,Multiquadric,ordnance,multiquadric
B类:
Buried,Pipeline,Reconstruction,Based,Level,Set,Inverse,Regularization,Method,electric,inversion,technique,reconstructs,subsurface,medium,distribution,from,acquired,data,On,basis,objects,buried,earth,seabed,such,pipelines,unexploded,detected,located,contactless,manner,However,process,accurately,reconstructing,shape,target,challenging,because,nonlinear,ill,problem,this,work,inverse,IMQ,regularization,level,set,function,case,locating,underwater,unknown,area,split,into,two,parts,background,conductivity,geometry,represented,achieving,noiseless,To,obtain,binary,used,term,which,pushes,away,We,also,provide,appropriate,select,bandwidth,rameters,resulting,reconstructed,images,sharp,edges,simulation,results,analysis,show,that,proposed,performs,better,than,classical,methods
AB值:
0.561971
相似文献
106 New Emission-line Galaxies and 29 New Galactic H Ⅱ Regions are Identified with Spectra in the Unknown Data Set of LAMOST DR7
Yan Lu;A-Li Luo;Li-Li Wang;You-Fen Wang;Yin-Bi Li;Jin-Shu Han;Li Qin;Yan-Ke Tang;Bo Qiu;Shuo Zhang;Jian-Nan Zhang;Yong-Heng Zhao-CAS Key Laboratory of Optical Astronomy,National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China;College of Computer and Information Engineering&Institute for Astronomical Science,Dezhou University,Dezhou 253023,China;University of Chinese Academy of Science,Beijing 100049,China;College of Physics and Electronic Information,Dezhou University,Dezhou 253023,China;School of Electronic Information Engineering,Hebei University of Technology,Tianjin 300401,China;Department of Astronomy,School of Physics,Peking University,Beijing 100871,China;Kavli institute of Astronomy and Astrophysics,Peking University,Beijing 100871,China
Detection of oil spill based on CBF-CNN using HY-1C CZI multispectral images
Kai Du;Yi Ma;Zongchen Jiang;Xiaoqing Lu;Junfang Yang-College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao 266590,China;First Institute of Oceanology,Ministry of Natural Resources,Qingdao 266061,China;Technology Innovation Center for Ocean Telemetry,Ministry of Natural Resources,Qingdao 266061,China;National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology,Xi'an 710072,China;School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China;National Satellite Ocean Application Service,Beijing 100081,China;College of Oceanography and Space Informatics,China University of Petroleum(East China),Qingdao 266580, China
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。