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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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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1724165505452867584 |