Reconstructing Properties of Subsurface from Ground-penetrating Radar Data
This paper discusses the reconstruction of permittivity, permeability and conductivity from ground-penetrating radar (GPR) data by using a time-domain reconstruction technique. The objective functional is defined as the integration over time of some power of weighted residual between observed and calculated data. The power of the objective functional is any number larger than 1.The gradients of the functional to the unknown parameters are derived. A synthetic reconstruction example from multi-offset noise-free and noisy data is illustrated by using L2, L1.6 and L1.2 norm of objective functional. A reconstruction example from experimental common-offset data is also demonstrated. In this example L2 and L1.2 norms are used. Both synthetic and experimental reconstructed results show that the reconstructed results by using low-order norms are better than those by using the conventional Euclidean norm.
Hui Zhou Dongling Qiu Takashi Takenaka
College of Marine Geoscience, Ocean University of China, Qingdao 266003, China Department of Electri College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266003, China Department of Electrical and Electronic Engineering, Nagasaki University, Nagasaki 852-8521, Japan
国际会议
Progress in Electromagnetics Research Symposium 2007(2007年电磁学研究新进展学术研讨会)(PIERS 2007)
北京
英文
1009-1014
2007-03-26（万方平台首次上网日期，不代表论文的发表时间）