TIGPR: A Multi-View Ground Penetrating Radar Detection Data for Damage Assessment of Transportation Infrastructure

The TIGPR dataset is a comprehensive collection of ground-penetrating radar (GPR) images for detecting damage in transportation infrastructure, including roads, bridges, tunnels, and airports. This dataset encompasses common types of damage found in transportation infrastructure, such as cracks, interlayer debonding, looseness, and voids. The images were collected from real-world surveys of highways, bridges, tunnels, and municipal roads in regions such as Guizhou, Jinhua, and Nanjing. The equipment used includes the 2D GPR equipment: IDS-FastWave and MALA GX750, as well as the 3D GPR equipment GeoScope 3D-Radar. The 2D GPR systems captured B-scan images with a resolution of 200 × 200 pixels, while the 3D GPR system provided both B-scan and C-scan images with a resolution of 320 × 320 pixels. The image dimensions correspond to actual infrastructure scales, with a length of 10 meters and a depth of 1 meter. This dataset integrates information from multiple damage types and views, supporting the development of deep learning models for the detection, classification, and segmentation of transportation infrastructure damage. It has the potential to enhance non-destructive testing and automated evaluation of transportation infrastructure.

TIGPR数据集是一套全面收集的地面穿透雷达（GPR）图像，旨在检测交通基础设施中的损害，包括道路、桥梁、隧道和机场等。该数据集涵盖了交通基础设施中常见的损害类型，如裂缝、层间脱粘、松动和空洞。图像采集自贵州、金华和南京等地区的高速公路、桥梁、隧道和市政道路的实际调查。所使用的设备包括二维GPR设备：IDS-FastWave和MALA GX750，以及三维GPR设备GeoScope 3D-Radar。二维GPR系统捕捉到的B扫描图像分辨率为200×200像素，而三维GPR系统提供了B扫描和C扫描图像，分辨率为320×320像素。图像尺寸与实际基础设施规模相对应，长度为10米，深度为1米。此数据集整合了多种损害类型和视图的信息，支持开发用于检测、分类和分割交通基础设施损害的深度学习模型。它有潜力提升无损检测和交通基础设施的自动化评估。

搜集汇总

背景与挑战

背景概述

TIGPR数据集是一个用于交通基础设施损伤评估的探地雷达图像集合，涵盖道路、桥梁、隧道和机场等场景，包含裂缝、层间剥离等常见损伤类型。数据来自真实调查，使用2D和3D GPR设备采集，支持多视角图像（B-scan和C-scan），旨在为深度学习模型开发提供资源，以提升无损检测和自动化评估能力。