Paper
9 December 2015 Monitoring abandoned dreg fields of high-speed railway construction with UAV remote sensing technology
Jiayuan Lin, Zhiliang Wang, Yangchun Wang, Yi Lin, Xiaolin Du
Author Affiliations +
Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 980808 (2015) https://doi.org/10.1117/12.2207421
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China
Abstract
High-speed railway construction will produce a large amount of abandoned dregs, so it is necessary to build enough dreg deposition fields along the railway. The task of the department of soil and water conservation is to monitor the construction and usage of abandoned dreg fields according to the design in the whole process of railway construction. As long linear construction projects, many high-speed railways go through regions of complex terrain, which poses great difficulties to monitoring current status of abandoned dreg fields. With the advantages of low cost, flexible launch and landing, safety, under-cloud-flying, hyperspatial image resolution, Unmanned Aerial Vehicles (UAVs) are very suitable for obtaining remote sensing imagery along the railway. One segment of the high-speed railway from Chongqing to Wanzhou and its neighborhood was chosen as the study area to demonstrate key technologies and specific procedures of monitoring abandoned dreg fields using the UAV system. The UAV system and its components are introduced along with the flight trajectories, acquired UAV imagery, and attitude data. Image preprocessing and generation of DEM and DOM are described in detail followed by image-based measurement accuracy assessment and abandoned dreg field status investigation on the resulting DOM and DEM. Results prove the feasibility and effectiveness of applying the fixed wing UAV system to rapidly monitoring the construction and usage of abandoned dreg fields
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiayuan Lin, Zhiliang Wang, Yangchun Wang, Yi Lin, and Xiaolin Du "Monitoring abandoned dreg fields of high-speed railway construction with UAV remote sensing technology", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 980808 (9 December 2015); https://doi.org/10.1117/12.2207421
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Cited by 3 scholarly publications.
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KEYWORDS
Unmanned aerial vehicles

Remote sensing

Data acquisition

Sensing systems

Control systems

Global Positioning System

Image processing

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