سابِق|تال

Automatic detection method of a moving ship based on an HY-1/CZI satellite image

  • role： First author第一作者
  • Affiliation：

    School of Oceanography, Shanghai Jiao Tong University, Shanghai 201100, China

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

  • Email：lhz722@sjtu.edu.cn
  • Introduction：李鸿喆，研究方向为海洋遥感目标检测。E-mail： lhz722@sjtu.edu.cn
LI Hongzhe12,  
  • Affiliation：

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

GONG Fang2,  
  • Affiliation：

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

ZHU Qiankun2,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

  • Email：hexianqiang@sio.org.cn
  • Introduction：何贤强，研究方向为海—气耦合辐射传输海洋水色遥感大气校正和卫星海洋学。E-mail：hexianqiang@sio.org.cn
HE Xianqiang2*

ملخص

Ship detection by satellite remote sensing is of great significance for the safety of maritime navigation and the maintenance of maritime rights and interests. The traditional ship detection based on high spatial resolution Synthetic Aperture Radar (SAR) and optical satellite images cannot easily realize high-frequency monitoring application due to the long revisit period. The medium resolution Coastal Zone Imager (CZI) carried by China’s “Ocean-1” series satellites (HY-1) has a relatively low spatial resolution (50 m). However, HY-1C and HY-1D form a double satellite network observation in the morning and afternoon, which has the advantage of short revisit period and is of great value for marine vessel monitoring. We attempt to realize the ship automatic detection and orientation technology of medium-resolution CZI images, which will be of great value to the monitoring of ships at sea. In this study, a convolutional neural network is used for feature learning and target extraction, and an automatic ship detection method of HY-1/CZI image is established. Verification results show that this method has the advantages of not requiring threshold adjustment and strong adaptability, and the detection accuracy reaches 77.71%, which can be applied to the automatic monitoring of marine moving ships in the HY-1/CZI image. The algorithm in this work can directly detect the position and motion information of marine moving ships from the medium-resolution HY-1/CZI image without manual screening, realize the automatic extraction of wake, and overcome the problem of insufficient resolution of the medium-resolution optical image. Based on the detection results, this work further quantitatively describes the wake and obtains the information of the ship's position and movement direction.

مفهوم

Coastal Zone Imager;Vessel inspection;convolutional neural network;satellite remote sensing

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