不同插值方法在断层检测模型中的应用效果对比分析

为了了解同一断层检测模型在不同插值方法下的检测效果和同一插值方法在不同断层检测模型的检测效果.对比视觉几何组VGG(Visual Geometry Group)、多层感知机MLP(Multi--layper Perceptron)、支持向量机SVM(Support Vector Machine)三种断层检测模型在lin...

Comparative Analysis of the Application Effects of Different Interpolation Methods in Fault Detection Models

In order to understand the detection effect of the same fault detection model under different interpolation methods and the detection effect of the same interpolation method under different fault detection models,the detection effect of three fault detection models,namely VGG(visual geometry group),MLP(multi-layper perceptron),and SVM(support vector machine)under the four interpolation methods of linear,nearest,cubic,and areaare compared.The realization process is to use the CNN convolutional layer to extract features,and use MLP and SVM as classifiers in full connection layer to establish MLP and SVM modelsrespectively.Then,samples are constructed based on seismic profile data and fault data,and VGG,MLP and SVM models are trained.After that,model data are tested.It is found that the SVM model detection result is better under the same interpolation method,and the area interpolation method in the same model has the best detection effect.The test shows that using area interpolation method in selected model data can improve the performance of fault detection.