Ship wake region detection by using multi-feature recombination and area-based morphological analysis in ATI-SAR systems

For moving ship detection in synthetic aperture radar (SAR) images, ship wakes on the sea surface may be detectable, thus leading to interferences in reconnaissance. To address this issue, a wake region detection approach by using multi-feature recombination and area-based morphological analysis is...

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Main Authors: Min Tian, Zhiwei Yang, Zhijie Mao, Guisheng Liao
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0552
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spelling doaj-e674052fb5554baca51db58a1907903e2021-04-02T11:12:28ZengWileyThe Journal of Engineering2051-33052019-10-0110.1049/joe.2019.0552JOE.2019.0552Ship wake region detection by using multi-feature recombination and area-based morphological analysis in ATI-SAR systemsMin Tian0Zhiwei Yang1Zhijie Mao2Guisheng Liao3National Laboratory of Radar Signal Processing, Xidian UniversityNational Laboratory of Radar Signal Processing, Xidian UniversityCollege of Information and Communication, National University of Defense TechnologyNational Laboratory of Radar Signal Processing, Xidian UniversityFor moving ship detection in synthetic aperture radar (SAR) images, ship wakes on the sea surface may be detectable, thus leading to interferences in reconnaissance. To address this issue, a wake region detection approach by using multi-feature recombination and area-based morphological analysis is proposed with along-track interferogram-SAR systems. This approach aims to detect the near-ship wake region that is nearby a ship's hull and between two kelvin cusp lines. A novel test is constructed by recombining magnitude, phase, and the local variance of phase in the complex multi-look interferometric SAR image to detect the potential pixels of the ship wakes. Then, with a clustering algorithm based on the proposed test and the pixel spatial distance, the potential wake regions are acquired, and the real ones having sufficiently large areas can be accurately determined. Finally, experimental results on the TerraSAR-X dataset validate the effectiveness of the proposed method.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0552radar imagingshipssynthetic aperture radarradar interferometrywakesradar detectionmarine radarradar interferencepattern clusteringarea-based morphological analysisati-sar systemsalong-track interferogram-sar systemssynthetic aperture radar imagingnear-ship wake region detection approachmultifeature recombinationcomplex multilook interferometric sar imagingsea surface detectionkelvin cusp linesterrasar-x dataset
collection DOAJ
language English
format Article
sources DOAJ
author Min Tian
Zhiwei Yang
Zhijie Mao
Guisheng Liao
spellingShingle Min Tian
Zhiwei Yang
Zhijie Mao
Guisheng Liao
Ship wake region detection by using multi-feature recombination and area-based morphological analysis in ATI-SAR systems
The Journal of Engineering
radar imaging
ships
synthetic aperture radar
radar interferometry
wakes
radar detection
marine radar
radar interference
pattern clustering
area-based morphological analysis
ati-sar systems
along-track interferogram-sar systems
synthetic aperture radar imaging
near-ship wake region detection approach
multifeature recombination
complex multilook interferometric sar imaging
sea surface detection
kelvin cusp lines
terrasar-x dataset
author_facet Min Tian
Zhiwei Yang
Zhijie Mao
Guisheng Liao
author_sort Min Tian
title Ship wake region detection by using multi-feature recombination and area-based morphological analysis in ATI-SAR systems
title_short Ship wake region detection by using multi-feature recombination and area-based morphological analysis in ATI-SAR systems
title_full Ship wake region detection by using multi-feature recombination and area-based morphological analysis in ATI-SAR systems
title_fullStr Ship wake region detection by using multi-feature recombination and area-based morphological analysis in ATI-SAR systems
title_full_unstemmed Ship wake region detection by using multi-feature recombination and area-based morphological analysis in ATI-SAR systems
title_sort ship wake region detection by using multi-feature recombination and area-based morphological analysis in ati-sar systems
publisher Wiley
series The Journal of Engineering
issn 2051-3305
publishDate 2019-10-01
description For moving ship detection in synthetic aperture radar (SAR) images, ship wakes on the sea surface may be detectable, thus leading to interferences in reconnaissance. To address this issue, a wake region detection approach by using multi-feature recombination and area-based morphological analysis is proposed with along-track interferogram-SAR systems. This approach aims to detect the near-ship wake region that is nearby a ship's hull and between two kelvin cusp lines. A novel test is constructed by recombining magnitude, phase, and the local variance of phase in the complex multi-look interferometric SAR image to detect the potential pixels of the ship wakes. Then, with a clustering algorithm based on the proposed test and the pixel spatial distance, the potential wake regions are acquired, and the real ones having sufficiently large areas can be accurately determined. Finally, experimental results on the TerraSAR-X dataset validate the effectiveness of the proposed method.
topic radar imaging
ships
synthetic aperture radar
radar interferometry
wakes
radar detection
marine radar
radar interference
pattern clustering
area-based morphological analysis
ati-sar systems
along-track interferogram-sar systems
synthetic aperture radar imaging
near-ship wake region detection approach
multifeature recombination
complex multilook interferometric sar imaging
sea surface detection
kelvin cusp lines
terrasar-x dataset
url https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0552
work_keys_str_mv AT mintian shipwakeregiondetectionbyusingmultifeaturerecombinationandareabasedmorphologicalanalysisinatisarsystems
AT zhiweiyang shipwakeregiondetectionbyusingmultifeaturerecombinationandareabasedmorphologicalanalysisinatisarsystems
AT zhijiemao shipwakeregiondetectionbyusingmultifeaturerecombinationandareabasedmorphologicalanalysisinatisarsystems
AT guishengliao shipwakeregiondetectionbyusingmultifeaturerecombinationandareabasedmorphologicalanalysisinatisarsystems
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