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

被引：0
|
作者：
Li H. [1 ,2 ]
Gong F. [2 ]
Zhu Q. [2 ]
He X. [2 ]
机构：
[1] School of Oceanography, Shanghai Jiao Tong University, Shanghai
[2] State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou
来源：
National Remote Sensing Bulletin | 2023年 / 27卷 / 04期
基金：
中国国家自然科学基金;
关键词：
coastal zone imager; convolutional neural network; satellite remote sensing; vessel inspection;
D O I：
10.11834/jrs.20221525
中图分类号：
学科分类号：
摘要：
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. © 2023 National Remote Sensing Bulletin. All rights reserved.
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页码：965 / 972
页数：7
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