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Proceedings Paper

The application of the unmanned aerial vehicle remote sensing technology in the FAST project construction
Author(s): Boqin Zhu
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Paper Abstract

The purpose of using unmanned aerial vehicle (UAV) remote sensing application in Five-hundred-meter aperture spherical telescope (FAST) project is to dynamically record the construction process with high resolution image, monitor the environmental impact, and provide services for local environmental protection and the reserve immigrants. This paper introduces the use of UAV remote sensing system and the course design and implementation for the FAST site. Through the analysis of the time series data, we found that: (1) since the year 2012, the project has been widely carried out; (2) till 2013, the internal project begun to take shape;(3) engineering excavation scope was kept stable in 2014, and the initial scale of the FAST engineering construction has emerged as in the meantime, the vegetation recovery went well on the bare soil area; (4) in 2015, none environmental problems caused by engineering construction and other engineering geological disaster were found in the work area through the image interpretation of UAV images. This paper also suggested that the UAV technology need some improvements to fulfill the requirements of surveying and mapping specification., including a new data acquisition and processing measures assigned with the background of highly diverse elevation, usage of telephoto camera, hierarchical photography with different flying height, and adjustment with terrain using the joint empty three settlement method.

Paper Details

Date Published: 6 August 2015
PDF: 8 pages
Proc. SPIE 9669, Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China, 96690O (6 August 2015); doi: 10.1117/12.2204935
Show Author Affiliations
Boqin Zhu, National Astronomical Observatories (China)
Key Lab. of Radio Astronomy (China)

Published in SPIE Proceedings Vol. 9669:
Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China
Qingxi Tong; Boqin Zhu, Editor(s)

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