In order to solve the problems of automatic hyperbolic feature extraction, irregular curve elimination and incomplete hyperbola fitting in the ground penetrating radar B-scan (GPR B-Scan) image, a multi-layer fusion processing GPR B-Scan image double Curve extraction model. First, the preprocessing layer uses the OTSU threshold segmentation algorithm and the morphological corrosion method to preprocess the image, and then through the clustering layer connection clustering algorithm to complete the automatic extraction of hyperbolic features to eliminate irregular curves, and finally the hyperbolic fitting layer uses robust orthogonal The distance fitting algorithm simplifies the hyperbolic fitting process. Finally, this paper first built the GprMaxs platform simulation experiment, the average fitting accuracy rate reached 97.64%, and then carried out the actual GPR B-Scan data experimental verification in the two actual working conditions of concrete and wet soil, the average fitting accuracy rate reached 92 %the above. The results show the validity and correctness of the design model in the article, which lays the foundation for subsequent application and promotion.