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Proceedings Paper

Automatic oil tank recognition via detecting elliptic rooftop for optical UAV imagery
Author(s): Zhaodong Niu; Da Tang; Weihua Wang; Zengping Chen
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Paper Abstract

Oil tank is one kind of foundational industrial facility for storage of oil and petrochemical products. Automatic recognition of the oil depot in the remote sensing image is of important practical significance in many fields. Nowadays, the Unmanned Aerial Vehicle (UAV) provides an available alternative solution to the satellite for monitoring the oil depot, owing to its advantages of flexibility, rapid response and minimal cost. In this paper, a novel oil tank extraction method based on detection of the elliptic rooftop is proposed. To start with, straight line segments of object boundary are extracted in the UAV imagery. Secondly, these lines are linked to form arc segments based on proper geometric criteria, and then elliptical rooftops are extracted based on these arcs to generate hypotheses of potential oil tanks. Finally, within Region of Interest (ROI) of rooftops, hypotheses disambiguation and verification of targets are accomplished primarily by extraction of facade contours of oil tanks. Experimental results demonstrate the good performance of our method on a variety of complex scenes.

Paper Details

Date Published: 9 August 2018
PDF: 9 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108061W (9 August 2018); doi: 10.1117/12.2502838
Show Author Affiliations
Zhaodong Niu, National Univ of Defense Technology (China)
Da Tang, Institute of Tracking and Telecommunication Technology (China)
Weihua Wang, National Univ. of Defense Technology (China)
Zengping Chen, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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