Vessel detection based on dual-operator log-pol top-hat filter

Lei Xu; Ze Wang; Chunming He; Guosheng Lu; Lizhen Deng

doi:10.1117/12.2575684

12 October 2020 Vessel detection based on dual-operator log-pol top-hat filter

Lei Xu, Ze Wang, Chunming He, Guosheng Lu, Lizhen Deng

Proceedings Volume 11574, International Symposium on Artificial Intelligence and Robotics 2020; 115740H (2020) https://doi.org/10.1117/12.2575684
Event: International Symposium on Artificial Intelligence and Robotics (ISAIR), 2020, Kitakyushu, Japan

Abstract

Vessel detection has been widely used in Marine Surveillance to automatically detect potential threats over a huge oceanic area. However, the uncertainty of ship direction and the interference of environment factors, such as sea waves and cloud, will greatly reduce the detection accuracy. In order to solve the above problems and provide robustness to environmental conditions, we combine the property of polar-logarithmic coordinate and proposed our method named “Dual-operator log-pol top-hat filter (DOLPTH)” to make better use of the difference information between the vessel and the background. Different situations are designed to test the performance of our algorithm compared with other algorithms. The experimental results show that in both cases, DOLPTH can maintain high accuracy and has good detection performance.

Citation Download Citation

Lei Xu, Ze Wang, Chunming He, Guosheng Lu, and Lizhen Deng "Vessel detection based on dual-operator log-pol top-hat filter", Proc. SPIE 11574, International Symposium on Artificial Intelligence and Robotics 2020, 115740H (12 October 2020); https://doi.org/10.1117/12.2575684

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KEYWORDS

Clouds

Lithium

Target detection

3D image processing

Image processing

Surveillance

Image filtering

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