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Improved Ship Target Detection Accuracy in SAR Image Based on Modified CFAR Algorithm

  • Yong Wang*
  • , Tianjiao Guo
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

A novel algorithm for the detection of ship target with high accuracy in the synthetic aperture radar (SAR) with high spatial resolution image is proposed. The SAR image may include not only the ship targets but also the interferences such as the sea clutter, the strong reflection target, the side lobe and so on. The conventional constant false alarm rate (CFAR) algorithm has some disadvantages, and it has not enough prior information about the size of the ships. Hence, it cannot separate the adjacent ships correctly. A comprehensive algorithm based on the modified CFAR algorithm and opening operation is presented to solve the problem, and the detection accuracy can be improved consequently. The results of SAR image illustrate the effectiveness of the method in this paper.

Original languageEnglish
Pages (from-to)18-23
Number of pages6
JournalJournal of Harbin Institute of Technology (New Series)
Volume25
Issue number2
DOIs
StatePublished - 1 Apr 2018

Keywords

  • Constant false alarm rate (CFAR)
  • Opening operation
  • Otsu algorithm
  • Ship detection

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