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

LI Hongzhe; GONG Fang; ZHU Qiankun; HE Xianqiang

doi:10.11834/jrs.20221525

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Automatic detection method of a moving ship based on an HY-1/CZI satellite image
Vol. 27, Issue 4, Pages: 965-972(2023)
Published： 07 April 2023 ，
DOI： 10.11834/jrs.20221525

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李鸿喆，龚芳，朱乾坤，何贤强.2023.HY-1/CZI卫星影像的海上运动船只自动检测方法.遥感学报，27（4）： 965-972

Li H Z， Gong F， Zhu Q K and He X Q. 2023. Automatic detection method of a moving ship based on an HY-1/CZI satellite image. National Remote Sensing Bulletin， 27（4）：965-972
李鸿喆，龚芳，朱乾坤，何贤强.2023.HY-1/CZI卫星影像的海上运动船只自动检测方法.遥感学报，27（4）： 965-972 DOI： 10.11834/jrs.20221525.

Li H Z， Gong F， Zhu Q K and He X Q. 2023. Automatic detection method of a moving ship based on an HY-1/CZI satellite image. National Remote Sensing Bulletin， 27（4）：965-972 DOI： 10.11834/jrs.20221525.

摘要

船只遥感检测对于海上航行安全保障和海洋权益维护具有重要意义，传统基于极高空间分辨率的合成孔径雷达（SAR）和光学卫星影像的船只检测由于重访周期长，难以实现高频监测应用。中国自主“海洋一号”系列卫星（HY-1）搭载的中分辨率海岸带成像仪（CZI），虽然空间分辨率相对较低（星下点50 m），但HY-1C、HY-1D形成双星上下午组网观测，具有重访周期短的优势，对于海上船只监测具有重要价值。本文利用卷积神经网络进行特征学习和目标提取，建立了HY-1/CZI影像船只自动检测方法。验证结果表明，相对于传统图像处理方法，本文方法具有不需要调整阈值、适应性强的特点，检测精度达到77.71%，可应用于HY-1/CZI影像的海上运动船只自动监测。

Abstract

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.

关键词

海岸带成像仪船只检测卷积神经网络卫星遥感

Keywords

coastal zone imagervessel inspectionconvolutional neural networksatellite remote sensing

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