Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times

A method for improving the estimation accuracy of the velocity of cruising ships is proposed using synthetic aperture radar (SAR) sublook images in the spotlight mode. The main purpose of spotlight SAR is to obtain high resolution utilizing longer integration times than those of other imaging modes,...

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Autores principales: Takero Yoshida, Kazuo Ouchi
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/6bf1489b93264e58987a927e3fa93838
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spelling oai:doaj.org-article:6bf1489b93264e58987a927e3fa938382021-11-26T00:00:11ZImproved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times2151-153510.1109/JSTARS.2021.3127214https://doaj.org/article/6bf1489b93264e58987a927e3fa938382021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9612066/https://doaj.org/toc/2151-1535A method for improving the estimation accuracy of the velocity of cruising ships is proposed using synthetic aperture radar (SAR) sublook images in the spotlight mode. The main purpose of spotlight SAR is to obtain high resolution utilizing longer integration times than those of other imaging modes, and the proposed method is based on these long integration times. The principal methodology is to produce successive <italic>N</italic> sublook images of a cruising ship, where <italic>N</italic> is more than approximately 10. The positions of the look-1 and look-<italic>N</italic> subimages differ by a substantial distance proportional to the cruising speed and the long interlook time difference. The distance, and hence the velocity of the cruising ship, can be computed from the cross-correlation function of these two sublook images with improved accuracy compared with other modes. We tested using PALSAR-2 spotlight subimages with <italic>N</italic> &#x003D; 2, 10, and 20, and the results are compared with the automatic identification system data. Five images of ships cruising close to the azimuth direction were tested; the best result was obtained for the 10-look images with an average error of 13.8&#x0025;, followed by 17.9&#x0025; and 40.5&#x0025; errors for the 20- and 2-look images, respectively. The reason is also given for the best result of the 10-look case over the 20-look case.Takero YoshidaKazuo OuchiIEEEarticleSpotlight modesublook processingsynthetic aperture radar (SAR)velocity of cruising shipsOcean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11622-11629 (2021)
institution DOAJ
collection DOAJ
language EN
topic Spotlight mode
sublook processing
synthetic aperture radar (SAR)
velocity of cruising ships
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
spellingShingle Spotlight mode
sublook processing
synthetic aperture radar (SAR)
velocity of cruising ships
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
Takero Yoshida
Kazuo Ouchi
Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times
description A method for improving the estimation accuracy of the velocity of cruising ships is proposed using synthetic aperture radar (SAR) sublook images in the spotlight mode. The main purpose of spotlight SAR is to obtain high resolution utilizing longer integration times than those of other imaging modes, and the proposed method is based on these long integration times. The principal methodology is to produce successive <italic>N</italic> sublook images of a cruising ship, where <italic>N</italic> is more than approximately 10. The positions of the look-1 and look-<italic>N</italic> subimages differ by a substantial distance proportional to the cruising speed and the long interlook time difference. The distance, and hence the velocity of the cruising ship, can be computed from the cross-correlation function of these two sublook images with improved accuracy compared with other modes. We tested using PALSAR-2 spotlight subimages with <italic>N</italic> &#x003D; 2, 10, and 20, and the results are compared with the automatic identification system data. Five images of ships cruising close to the azimuth direction were tested; the best result was obtained for the 10-look images with an average error of 13.8&#x0025;, followed by 17.9&#x0025; and 40.5&#x0025; errors for the 20- and 2-look images, respectively. The reason is also given for the best result of the 10-look case over the 20-look case.
format article
author Takero Yoshida
Kazuo Ouchi
author_facet Takero Yoshida
Kazuo Ouchi
author_sort Takero Yoshida
title Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times
title_short Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times
title_full Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times
title_fullStr Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times
title_full_unstemmed Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times
title_sort improved accuracy of velocity estimation for cruising ships by temporal differences between two extreme sublook images of alos-2 spotlight sar images with long integration times
publisher IEEE
publishDate 2021
url https://doaj.org/article/6bf1489b93264e58987a927e3fa93838
work_keys_str_mv AT takeroyoshida improvedaccuracyofvelocityestimationforcruisingshipsbytemporaldifferencesbetweentwoextremesublookimagesofalos2spotlightsarimageswithlongintegrationtimes
AT kazuoouchi improvedaccuracyofvelocityestimationforcruisingshipsbytemporaldifferencesbetweentwoextremesublookimagesofalos2spotlightsarimageswithlongintegrationtimes
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