Improving the Image Quality of Moving Ships for GF-3NG Based on Simultaneous AIS Information

The synthetic aperture radar (SAR) is an important means of ship surveillance, but the motion of the ship leads to azimuth position offset, false targets, and azimuth defocusing for the spaceborne high-resolution and wide-swath (HRWS) SAR system, causing the degradation of imaging quality. The autom...

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Main Authors: Yini Lv, Lihua Zhong, Xiaolan Qiu, Xinzhe Yuan, Junying Yang, Yuxin Hu, Chibiao Ding
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/10/1951
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author Yini Lv
Lihua Zhong
Xiaolan Qiu
Xinzhe Yuan
Junying Yang
Yuxin Hu
Chibiao Ding
author_facet Yini Lv
Lihua Zhong
Xiaolan Qiu
Xinzhe Yuan
Junying Yang
Yuxin Hu
Chibiao Ding
author_sort Yini Lv
collection DOAJ
description The synthetic aperture radar (SAR) is an important means of ship surveillance, but the motion of the ship leads to azimuth position offset, false targets, and azimuth defocusing for the spaceborne high-resolution and wide-swath (HRWS) SAR system, causing the degradation of imaging quality. The automatic identification system (AIS) can provide real-time information of the ships, which is an important auxiliary method for ship surveillance. Up to now, the traditional fusion of SAR and AIS mainly has focused on location matching and auxiliary recognition, and the next generation of GaoFen-3 (GF-3NG) satellite is equipped with both a SAR sensor and an AIS sensor to obtain the SAR images and simultaneous AIS information of ships. Consequently, this paper proposes a novel scheme to improve the imaging quality of moving ships for GF-3NG using AIS information. In this paper, through introducing the virtual stationary target, the slant range derivation (SRD) algorithm is proposed to estimate the radial velocity (RV) and the radial acceleration (RA) between the ship and the SAR platform relative to the stationary scene. According to the calculated RV, the azimuth position offset can be estimated and the ship can be repositioned on the image. After that, the traditional method is conducted to suppress the false targets. Finally, the method of using the RA to refocus ship slices is proposed. Additionally, the experiment results based on real data illustrate the effectiveness of the proposed methods.
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spelling doaj.art-7a5b708f08724e2eb610bbdda64ae73e2023-11-21T20:05:26ZengMDPI AGRemote Sensing2072-42922021-05-011310195110.3390/rs13101951Improving the Image Quality of Moving Ships for GF-3NG Based on Simultaneous AIS InformationYini Lv0Lihua Zhong1Xiaolan Qiu2Xinzhe Yuan3Junying Yang4Yuxin Hu5Chibiao Ding6School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Nature Resource of the People’s Republic of China, Beijing 100081, ChinaSchool of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaSchool of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, ChinaThe synthetic aperture radar (SAR) is an important means of ship surveillance, but the motion of the ship leads to azimuth position offset, false targets, and azimuth defocusing for the spaceborne high-resolution and wide-swath (HRWS) SAR system, causing the degradation of imaging quality. The automatic identification system (AIS) can provide real-time information of the ships, which is an important auxiliary method for ship surveillance. Up to now, the traditional fusion of SAR and AIS mainly has focused on location matching and auxiliary recognition, and the next generation of GaoFen-3 (GF-3NG) satellite is equipped with both a SAR sensor and an AIS sensor to obtain the SAR images and simultaneous AIS information of ships. Consequently, this paper proposes a novel scheme to improve the imaging quality of moving ships for GF-3NG using AIS information. In this paper, through introducing the virtual stationary target, the slant range derivation (SRD) algorithm is proposed to estimate the radial velocity (RV) and the radial acceleration (RA) between the ship and the SAR platform relative to the stationary scene. According to the calculated RV, the azimuth position offset can be estimated and the ship can be repositioned on the image. After that, the traditional method is conducted to suppress the false targets. Finally, the method of using the RA to refocus ship slices is proposed. Additionally, the experiment results based on real data illustrate the effectiveness of the proposed methods.https://www.mdpi.com/2072-4292/13/10/1951SARAISrelative RVrelative RAazimuth offset correctionfalse target suppression
spellingShingle Yini Lv
Lihua Zhong
Xiaolan Qiu
Xinzhe Yuan
Junying Yang
Yuxin Hu
Chibiao Ding
Improving the Image Quality of Moving Ships for GF-3NG Based on Simultaneous AIS Information
Remote Sensing
SAR
AIS
relative RV
relative RA
azimuth offset correction
false target suppression
title Improving the Image Quality of Moving Ships for GF-3NG Based on Simultaneous AIS Information
title_full Improving the Image Quality of Moving Ships for GF-3NG Based on Simultaneous AIS Information
title_fullStr Improving the Image Quality of Moving Ships for GF-3NG Based on Simultaneous AIS Information
title_full_unstemmed Improving the Image Quality of Moving Ships for GF-3NG Based on Simultaneous AIS Information
title_short Improving the Image Quality of Moving Ships for GF-3NG Based on Simultaneous AIS Information
title_sort improving the image quality of moving ships for gf 3ng based on simultaneous ais information
topic SAR
AIS
relative RV
relative RA
azimuth offset correction
false target suppression
url https://www.mdpi.com/2072-4292/13/10/1951
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AT junyingyang improvingtheimagequalityofmovingshipsforgf3ngbasedonsimultaneousaisinformation
AT yuxinhu improvingtheimagequalityofmovingshipsforgf3ngbasedonsimultaneousaisinformation
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