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Central South University
Department of Geographic Information System
Linze Du

Linze Du
Central South University | CSU · Department of Geographic Information System

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Publications

280

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Skills and Expertise

Machine Learning

Publications

A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China

Article

Full-text available

Nov 2023

AdaHRBF v1.0: gradient-adaptive Hermite-Birkhoff radial basis function interpolants for three-dimensional stratigraphic implicit modeling

Article

Full-text available

Jul 2023

Three-dimensional (3D) stratigraphic modeling is capable of modeling the shape, topology, and other properties of strata in a digitalized manner. The implicit modeling approach is becoming the mainstream approach for 3D strati-graphic modeling, which incorporates both the off-contact strike and dip directions and the on-contact occurrence informati...

Figure 1. Data commonly used in (a) 3D geological modeling extracted...

Figure 2. The gradient vector g, the strike vector s, and the dip vector d.

Figure 5. Experimental field 1: (a) Original potential field; (b)...

Figure 6. Experimental field 2: (a) Original potential field; (b)...

AdaHRBF v1.0: Gradient-Adaptive Hermite-Birkhoff Radial Basis Function Interpolants for Three-dimensional Stratigraphic Implicit Modeling

Preprint

Full-text available

Jan 2023

Three-dimensional (3D) stratigraphic modelling is capable of modeling the shape, topology, and other properties of strata in a digitalized manner. The implicit modeling approach is becoming the mainstream approach for 3D stratigraphic modelling, which incorporates both the off-contact attitudes and the on-contact occurrence information of stratigra...