Key laboratory of Metallogenic Prediction of Nonferrous Metals and
Geological Environment Monitoring (Ministry of Education), Central South University, Changsha 410083,
China
School of
Geosciences and Info-Physics, Central South University, Changsha 410083,
China
Linze Du
Key laboratory of Metallogenic Prediction of Nonferrous Metals and
Geological Environment Monitoring (Ministry of Education), Central South University, Changsha 410083,
China
School of
Geosciences and Info-Physics, Central South University, Changsha 410083,
China
Institute of Deep-Sea Science and Engineering, Chinese Academy of
Sciences, Sanya 572000, China
Yongqiang Tong
Key laboratory of Metallogenic Prediction of Nonferrous Metals and
Geological Environment Monitoring (Ministry of Education), Central South University, Changsha 410083,
China
School of
Geosciences and Info-Physics, Central South University, Changsha 410083,
China
Wuhan ZGIS Science and Technology Co. Ltd., Wuhan 430074, China
Lifang Wang
Wuhan ZGIS Science and Technology Co. Ltd., Wuhan 430074, China
School of Geomatics and Geography, Hunan Vocational College of
Engineering, Changsha 410151, China
Key laboratory of Metallogenic Prediction of Nonferrous Metals and
Geological Environment Monitoring (Ministry of Education), Central South University, Changsha 410083,
China
School of
Geosciences and Info-Physics, Central South University, Changsha 410083,
China
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We propose a Hermite–Birkhoff radial basis function (HRBF) formulation, AdaHRBF, with an adaptive gradient magnitude for continuous 3D stratigraphic potential field (SPF) modeling of multiple stratigraphic interfaces. In the linear system of HRBF interpolants constrained by the scattered on-contact attribute points and off-contact attitude points of a set of strata in 3D space, we add a novel optimization term to iteratively obtain the true gradient magnitude.
We propose a Hermite–Birkhoff radial basis function (HRBF) formulation, AdaHRBF, with an...
