Abstract
Oil reserve strategy has been implemented in many countries. Although automatic oil reserve analysis could help to estimate the relationship between supply and demand, it is a challenging task and few studies has been done. As the crests of exterior floating crest oil tanks will float up and down according to internal storage, its shadow information can be utilized. Here we proposed a two-step framework to automatically analyze the reserve status of exterior floating crest oil tanks: firstly, detect out the oil tanks with ELSD (for candidate extraction) and CNN (for classification); secondly, analyze the reserve status through the shadows formed under the condition of good illumination. The framework is validated with a artificially calculating method utilizing the view angle. The experimental results show that this method can analyze the reserve status with outstanding performance.
Q. Wang—Foundation item: Supported by the National Natural Science Foundation of China (NSFC No. U1435220, 41401409).
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Wang, Q., Zhang, J., Hu, X. (2016). Automatic Oil Reserve Analysis Through the Shadows of Exterior Floating Crest Oil Tanks in Highlight Optical Satellite Images. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science(), vol 10073. Springer, Cham. https://doi.org/10.1007/978-3-319-50832-0_3
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DOI: https://doi.org/10.1007/978-3-319-50832-0_3
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