Automatic Extraction of Offshore Platforms in Single SAR Images Based on a Dual-Step-Modified Model
AbstractThe quantity and location of offshore platforms are of great significance for marine oil spill monitoring and offshore oil-gas development. In the past, multiphase medium- and low-resolution optical or radar images have been used to remove the interference of ship targets based on the static position of a platform to extract the offshore platform, resulting in large demands and high image data costs. According to the difference in shape between offshore platforms (not elongated) and ships (elongated shapes) in SAR (synthetic aperture radar) images, this paper proposes an automatic extraction method for offshore platforms in single SAR images based on a dual-step-modified model. First, the two-parameter CFAR (constant false alarm rate) algorithm was used to detect the possible offshore platform targets; then, the Hough transform was introduced to detect and eliminate ship targets with linear structures. Finally, the final offshore platform was obtained. Experiments were carried out in four study areas in the Beibu Gulf basin and the Pearl River estuary basin in the northern South China Sea. The results show that the method has a good extraction effect in the above research area, and the extraction accuracy rate of offshore platforms is 86.75%. A single SAR image can obtain satisfactory extraction results, which greatly saves on image data cost. View Full-Text
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Zhang, J.; Wang, Q.; Su, F. Automatic Extraction of Offshore Platforms in Single SAR Images Based on a Dual-Step-Modified Model. Sensors 2019, 19, 231.
Zhang J, Wang Q, Su F. Automatic Extraction of Offshore Platforms in Single SAR Images Based on a Dual-Step-Modified Model. Sensors. 2019; 19(2):231.Chicago/Turabian Style
Zhang, Jing; Wang, Qi; Su, Fenzhen. 2019. "Automatic Extraction of Offshore Platforms in Single SAR Images Based on a Dual-Step-Modified Model." Sensors 19, no. 2: 231.
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