"RGB-T Fissure Dataset"

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Authors: Jiayin Luo
Cited by: 0

Abstract

"This dataset was collected by unmanned aerial vehicle (UAV) in the ground fracture concentration area of Pingshuo Mining Area, Shuozhou City, Shanxi Province in July 2025. It consists of 1820 pairs of optical (RGB) and thermal infrared (TIR) data samples after standardized preprocessing, spatial registration and pixel-level annotation. The dataset is specifically established for performance evaluation of the RGB-T Fissure-Net network model. It can provide a reliable multi-modal benchmark for the research on ground fracture detection and remote sensing monitoring of geological disasters in mining areas. This dataset is the first mining fissure dataset that jointly utilizes optical and TIR modalities for semantic segmentation research."

Fields of Study & Subjects

Infrastructure Maintenance and Monitoring Remote-Sensing Image Classification Advanced Image Fusion Techniques

Publication details

Journal / source
IEEE DataPort
Publication date
12 March 2026
Language
EN
Document type
Dataset