Automatic oil tank recognition via detecting elliptic rooftop for optical UAV imagery

Zhaodong Niu; Da Tang; Weihua Wang; Zengping Chen

doi:10.1117/12.2502838

9 August 2018 Automatic oil tank recognition via detecting elliptic rooftop for optical UAV imagery

Zhaodong Niu, Da Tang, Weihua Wang, Zengping Chen

Author Affiliations +

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108061W (2018) https://doi.org/10.1117/12.2502838
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

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.

Citation Download Citation

Zhaodong Niu, Da Tang, Weihua Wang, and Zengping Chen "Automatic oil tank recognition via detecting elliptic rooftop for optical UAV imagery", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108061W (9 August 2018); https://doi.org/10.1117/12.2502838

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