Ship detection and extraction using visual saliency and histogram of oriented gradient  

作　　者：徐芳 刘晶红 

机构地区：[1]Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033 China [2]The University of the Chinese Academy of Sciences, Beijing 100049, China

出　　处：《Optoelectronics Letters》2016年第6期473-477,共5页光电子快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.60902067);the Key Programs for Science and Technology Development of Jilin Province of China(No.11ZDGG001)

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.

关 键 词：histogram segmentation descriptor Radon false discriminate plenty salient alarm symmetry 

分 类 号：U675.79[交通运输工程—船舶及航道工程] TP391.41[交通运输工程—船舶与海洋工程]