TY - GEN
T1 - GPR full-waveform inversion, recent developments, and future opportunities
AU - van der Kruk, Jan
AU - Liu, Tao
AU - Mozzaffari, Amirpasha
AU - Klotzsche, Anja
AU - Gueting, N
AU - Vereecken, H
AU - Warren, Craig
AU - Giannopoulos, Antonios
N1 - Acceptance date set to exclude from REF OA Policy.
Keynote paper given at GPR 2018
PY - 2018/8/23
Y1 - 2018/8/23
N2 - Ray-based, or approximate, forward modeling techniques have often been used to reduce computational demands for inversion purposes. Due to increasing computational power and possible parallelization of inversion algorithms, accurate forward modeling can be included in advanced inversion approaches such that the full-waveform can be exploited. Here, recent developments of full-waveform ground penetrating radar (GPR) inversions are discussed that yield higher resolution of quantitative medium properties compared to conventional approaches, because of the use of accurate modeling tools that are based on Maxwell's equations. For a limited number of parameters, a combined global and local search using the shuffled complex evolution (SCE) can be used for inversion. For a large number of unknowns, gradient-based optimization methods are commonly used that need a good starting model to prevent them from being trapped in local minima. An overview of the methodological developments for surface and crosshole GPR full-waveform inversion will be given and several applications will be presented. Finally, recent developments and future opportunities will be discussed.
AB - Ray-based, or approximate, forward modeling techniques have often been used to reduce computational demands for inversion purposes. Due to increasing computational power and possible parallelization of inversion algorithms, accurate forward modeling can be included in advanced inversion approaches such that the full-waveform can be exploited. Here, recent developments of full-waveform ground penetrating radar (GPR) inversions are discussed that yield higher resolution of quantitative medium properties compared to conventional approaches, because of the use of accurate modeling tools that are based on Maxwell's equations. For a limited number of parameters, a combined global and local search using the shuffled complex evolution (SCE) can be used for inversion. For a large number of unknowns, gradient-based optimization methods are commonly used that need a good starting model to prevent them from being trapped in local minima. An overview of the methodological developments for surface and crosshole GPR full-waveform inversion will be given and several applications will be presented. Finally, recent developments and future opportunities will be discussed.
KW - Ground Penetrating Radar
KW - full-waveform inversion
KW - Permittivity
KW - Mathematical model
KW - Three-dimensional displays
KW - Conductivity
KW - Solid modeling
KW - Data models
U2 - 10.1109/ICGPR.2018.8441667
DO - 10.1109/ICGPR.2018.8441667
M3 - Conference contribution
T3 - Proceedings of the International Conference on Ground Penetrating Radar, GPR
BT - 2018 17th International Conference on Ground Penetrating Radar (GPR)
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 17th International Conference on Ground Penetrating Radar, GPR 2018
Y2 - 18 June 2018 through 21 June 2018
ER -