中文摘要：

一个新奇无指导的轮船察觉和抽取方法被建议。一个联合模型为寻找轮船目标区域并且压制虚惊基于视觉显著被构造。突出的目标区域通过分割被提取并且标记。氡变换被使用与对称侧面证实怀疑的轮船目标。然后，一个新描述符，面向的坡度(公猪) 的改进直方图，被介绍区别真实轮船。真实光遥感图象上的试验性的结果证明很多的轮船能成功地被提取并且定位，并且轮船的数字能是精确地获得了。而且，建议方法以精确性率和虚惊率比对比的方法优异。

英文摘要：

A novel unsupervised ship detection and extraction method is proposed. A combination model based on visual saliency is constructed for searching the ship target regions and suppressing the false alarms. The salient target regions are extracted and marked through segmentation. Radon transform is applied to confirm the suspected ship targets with symmetry profiles. Then, a new descriptor, improved histogram of oriented gradient（HOG）, is introduced to discriminate the real ships. The experimental results on real optical remote sensing images demonstrate that plenty of ships can be extracted and located successfully, and the number of ships can be accurately acquired. Furthermore, the proposed method is superior to the contrastive methods in terms of both accuracy rate and false alarm rate.