Rapid detection to long ship wake in synthetic aperture radar satellite imagery

Peng CHEN; Xiunan LI; Gang ZHENG

doi:10.1007/s00343-019-8221-y

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Rapid detection to long ship wake in synthetic aperture radar satellite imagery

Physics | Updated：2023-05-20

- Rapid detection to long ship wake in synthetic aperture radar satellite imagery
- Journal of Oceanology and Limnology Vol. 37, Issue 5, Pages: 1523-1532(2019)
- Affiliations：
  
  Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
- Author bio：
  
  CHEN Peng, chenpeng@sio.org.cn
- Funds：
- DOI：10.1007/s00343-019-8221-y
  CLC：
- Received：07 September 2018，
  
  Accepted：29 November 2018，
  
  Online First：30 December 2018，
  
  Published：2019-09
- Accepted：
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Peng CHEN, Xiunan LI, Gang ZHENG. Rapid detection to long ship wake in synthetic aperture radar satellite imagery[J]. Journal of Oceanology and Limnology, 2019, 37(5): 1523-1532.
DOI：

Peng CHEN, Xiunan LI, Gang ZHENG. Rapid detection to long ship wake in synthetic aperture radar satellite imagery[J]. Journal of Oceanology and Limnology, 2019, 37(5): 1523-1532. DOI： 10.1007/s00343-019-8221-y.

摘要

Abstract

The maritime administrative department employs synthetic aperture radar (SAR) satellite remote sensing technology to obtain evidence of illegal discharge of ships. If the ship is discharged during navigation

it forms a long dark wake on the SAR image due to the suppression of the Bragg wave by the oil film. This study investigates key techniques for rapid detection of long ship wakes

thereby providing law enforcement agencies with candidate ships for possible discharge. This paper presents a rapid long ship wake detection method that uses satellite imaging parameters and the axial direction of the ship in images to determine the potential detection area of the wake. Then

the threshold of long ship wake detection is determined using statistical analysis

the area is binarized

and isolated points are removed using a morphological filter operator. The method was tested with ENVISAT Synthetic Aperture Radar and GF-3 SAR data

and results showed that the method was effective

and the overall accuracy of the decision reaches 71%. We present two innovations; one is a method that draws a Doppler shift curve

and uses the SAR imaging parameters to determine the detection area of the long wake to achieve rapid detection and reduce the image detection area. The other is where a classical linear fitting method is used to quickly and accurately determine whether the detected dark area is a long ship wake and realizes the twisted long ship wake detection caused by the sea surface flow field

which is otherwise difficult to detect by the traditional Radon and Hough transform methods. This method has good suppression performance for the dark spot false alarm formed by low speed wind region or upward flow. The method is developed for maritime ship monitoring system and will promote the operational application of maritime ship monitoring system.

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references

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