Vegetation Detection in UAV Imagery for Railway Monitoring

Md Atiqur Rahman, Abdelhamid Mammeri

Abstract

Vegetation management on and alongside the railway tracks is very crucial for safe railway operations. The railway industry, therefore, needs to regularly monitor the growth of vegetation on railway tracks and embankments and mostly relies on human inspectors for the inspection and monitoring. This manual process being prohibitively time-consuming and cost-ineffective, there is a growing need to automate the process of vegetation detection. Aerial imagery collected using Unmanned Aerial Vehicles (UAVs) is becoming increasingly popular for automated inspection and monitoring. On the other hand, due to their recent success, Deep Convolutional Neural Networks (DCNNs) have seen rapid deployment in a wide array of image understanding tasks. In this work, we therefore, investigate the effectiveness of DCNNs for automating the vegetation detection task using UAV imagery. We further propose simple yet effective modification to an existing DCNN architecture and demonstrate its efficacy for vegetation detection using publicly available dataset.

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Paper Citation


in Harvard Style

Rahman M. and Mammeri A. (2021). Vegetation Detection in UAV Imagery for Railway Monitoring. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-513-5, pages 457-464. DOI: 10.5220/0010439904570464


in Bibtex Style

@conference{vehits21,
author={Md Atiqur Rahman and Abdelhamid Mammeri},
title={Vegetation Detection in UAV Imagery for Railway Monitoring},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2021},
pages={457-464},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010439904570464},
isbn={978-989-758-513-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Vegetation Detection in UAV Imagery for Railway Monitoring
SN - 978-989-758-513-5
AU - Rahman M.
AU - Mammeri A.
PY - 2021
SP - 457
EP - 464
DO - 10.5220/0010439904570464