Volume 37, Number 1, February 2019
|Page(s)||35 - 40|
|Published online||03 April 2019|
Small and Dim Ship Target Detection Based on Sea-Sky-Line
School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China
In order to solve the problem of small and dim ship target detection under complex sea-sky background, we propose a target detection algorithm based on sea-sky line detection. Firstly, the paper locates the sea-sky-line based on fully convolutional networks, through which target potential area can be determined and disturbance can be excluded. Then the method based on the mean of four detection gradient is adopted to detect the small and dim ship target. The simulation results show that the method of sea-sky-line detection based on fully convolutional networks can overcome the disadvantages of the traditional methods and is suitable for complex background. The detection method proposed can filter the white noise point on the sea surface and thus can reduce false alarm, through which the detection of small and dim ship can be completed well.
Key words: sea-sky-line detection / fully convolutional network / multi-gradient / small and dim target detection
关键字 : 海天线检测 / 全卷积神经网络 / 多向梯度 / 弱小目标检测
© 2019 Journal of Northwestern Polytechnical University
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