GPR and EMI co-registered dataset
收藏arXiv2025-09-30 收录
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https://opensource.silicon-austria.com/xuc/soil-analysis-machine-learning-stepped-frequency-gpr
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资源简介：
该数据集包含3472个在高尔夫球场上收集的共注册和地理定位的地穿透雷达（GPR）与电磁感应（EMI）数据样本，这些数据用于预测明显的电导率。该数据集支持两种场景：一种是来自第16球道的空间上相邻的训练和测试数据点，另一种是来自第14球道的空间上分离的训练数据和来自第16球道的测试数据。数据集规模为3472个样本，任务是通过GPR数据预测明显的电导率（Ecar）。
This dataset contains 3472 co-registered and geolocated Ground Penetrating Radar (GPR) and Electromagnetic Induction (EMI) data samples collected on a golf course, which are used to predict apparent electrical conductivity. It supports two scenarios: one consists of spatially adjacent training and test data points from the 16th fairway, while the other uses spatially separated training data from the 14th fairway and test data from the 16th fairway. The dataset has a total of 3472 samples, and the task is to predict apparent electrical conductivity (ECa) using GPR data.
提供机构：
Silicon Austria Labs
