A new method for geometric features extraction of ship target in high-resolution Synthetic Aperture Radar (SAR) image was proposed, After detecting and locating ship targets from high-resolution SAR images. The algorithm continues to acquire target slices to construct the process of the ship target geometric feature extraction. Firstly, the algorithm obtained a saliency map, completed the detection and positioning of ship targets, and obtained the ship target slices. Secondly, the algorithm extracted the geometric features based on the resulting ship slices. The slices was estimated by the azimuth to obtain the exact minimum bounding rectangle, then effective and accurate extraction of geometric features can be completed. Finally, the algorithm appied to SAR image target detection, which is efficient proved by experimental results. The experiments on TerraSAR-X and a large number of satellite data demonstrate that the proposed algorithm can extract the geometric features with high accuracy and good stability. Unlike traditional methods, the use of improved spectral residual visual significant computational models to locate and segment ship targets can effectively reduce the false alarm rates, and the detection speed increased by 25% to 50%. And it is suitable for practical requirements of ship target detection in high-resolution images.