SAR (Synthetic Aperture Radar) image object detection method based on Primal Sketch algorithm

The invention discloses an SAR (Synthetic Aperture Radar) image object detection method based on a Primal Sketch algorithm, mainly solving the problem that the traditional object detection method cannot realize the detection on different types of artificial objects. The implementing process of the SAR image object detection method based on the Primal Sketch algorithm comprises the following steps of: (1) obtaining a line segment aggregation expressing image structure information by applying the Primal Sketch algorithm to original SAR images; (2) defining and calculating the regularity degree and the regularity ratio of all line segments in the line segment aggregation; (3) determining a seed line segment aggregation for region growing; (4) executing the region growing by taking the seed line segments as the reference to obtain a candidate object region aggregation including artificial objects and natural objects; and (5) screening according to the characteristics of the line segments in the candidate object region aggregation to obtain final artificial objects, namely bridges, ports and buildings. Compared with the prior art, the detection method disclosed by the invention has the advantages of strong applicability, capability of realizing the detection on different types of artificial objects, exact detection result and low false alarm rate; and the invention is suitable for the SAR image object detection under the condition of multiple object types and different sizes of objects.