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Fast detection method for low false alarm of multi-channel spaceborne SAR image combined with confidence calculation

  • role： First author第一作者
  • Affiliation：

    Suzhou Aerospace Information Research Institute, Chinese Academy of Sciences, Suzhou 215123, China

  • Email：rnzheng@mail.ie.ac.cn
  • Introduction：郑儒楠，研究方向为图像识别与检测。E-mail： rnzheng@mail.ie.ac.cn
ZHENG Runan,  
  • Affiliation：

    Suzhou Aerospace Information Research Institute, Chinese Academy of Sciences, Suzhou 215123, China

QIU Xiaolan

реферат

The rapid detection of ship targets is one of the important applications of spaceborne synthetic aperture radar (SAR) and the first application direction of SAR on-board processing. At present, the constant false alarm (CFAR) detection method is the most commonly used in the rapid detection of SAR ships, and low false alarm has always been the focus of research. In multi-channel SAR, ship targets have multi-channel false targets, further increasing the difficulty of false alarm elimination.This paper proposes a fast detection method for low false alarm CFAR ships according to confidence calculation and SVM discrimination. First, the traditional CFAR algorithm introduces block calculation while designing the calculation method of ship target confidence and at the same time, according to the statistics of the geometric parameters of the current ship’s length, width, area, and so on, and the SVM classifier is used for the false targets with similar geometric parameters. Quickly distinguishing between ship and false targets and designing the overall process of CFAR detection. Finally, the GF-3 satellite dual-channel mode measured data is used to compare the algorithm running time and the target detection performance between the existing and new methods.Experimental results show that on the on-board processing platform based on TX2, the new method runs 30 times shorter than the traditional CFAR method and has good real-time performance. Meanwhile, the detection rate of ship targets reaches 97.8%, and the false alarm rate is controlled at 5.2%, showing a good ability of eliminating false targets.In view of the low real-time performance of traditional CFAR on spaceborne platforms and the existence of multiple false targets in the detection results, a method for quickly calculating the CFAR panoramic threshold is proposed. Experiments show that this algorithm has good real-time and detection performance for the ship detection problem of multi-channel spaceborne SAR data and can quickly and effectively detect ship targets and remove most false targets.

ключеви́че слова́

remote sensing;multi-channel spaceborne SAR;ship detection;real-time processing;low false-alarm rate;CFAR (Constant False-Alarm Rate)

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