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The rapid detection of ship targets is one of the important applications of spaceborne synthetic aperture radar, and it is also the first application direction of SAR satellite processing. In the current image false alarm (CFAR) detection method commonly used in SAR ship rapid detection, low false alarm has always been the focus of research. Multi-channel SAR targets have multi-channel false targets, which further increases the difficulty of false alarm elimination. To this end, this paper proposes a fast detection method for low false alarm CFAR ships based on confidence calculation and SVM discrimination. Firstly, the block calculation is introduced in the traditional CFAR algorithm. At the same time, the ship"s target confidence calculation method is designed for the current geometric parameters such as the length, width and area of ??the ship, and the SVM classifier is used for the false target with similar geometric parameters. The rapid distinction between ship targets and false targets, and the overall process of CFAR testing was designed. Finally, the GF-3 satellite dual-channel mode measured data is used to compare the algorithm running time and target detection performance between the existing method and the new method. The experimental results show that on the on-board processing platform based on TX2, the running time of the new method is 30 times shorter than that of the traditional CFAR method, and it has good real-time performance. At the same time, the detection rate of the ship target detection is 97.8%, and the false alarm rate. Controlled at 5.2%, with good false target rejection.