光学精密工程2017，Vol.25Issue(5)：1300-1311,12.DOI:10.3788/OPE.20172505.1300
基于视觉显著性的无监督海面舰船检测与识别
Detection and identification of unsupervised ships and warships on sea surface based on visual saliency
摘要
Abstract
In target detection on aerospace optical remote sensing,due to the interference of uncertain conditions on sea surface such as atmosphere, solar radiation, cloud and mist, islands and others, traditional ship detection methods always have some defects such as low detection efficiency, poor reliability.Therefore, the author proposed an unsupervised ship automatic detection method.In this method, visual saliency was combined with multi-saliency detection model for fast searching of sea-surface targets;after saliency map was generated, a rough segmentation was conducted on it, then extracted target slice was marked and fine segmentation was implemented, subsequently, improved Hough transformation was used to rotate principal axis of target for ensuring the symmetry of targets to Y axis;the characteristics of gradient direction was applied to recognize phony targets such as thick clouds layer, islands and others that may be detected, the gradient and amplitude statistical value of those targets in 8 intervals on all directions were judged to identify target ships and warships and eliminate phony targets.The experimental result indicates that the detection method of ships and warships can be used to successfully extract target ships and warships which are in different size and random distributed on sea surface for obtaining accurate quantity and location information about them.In test on a large number of authentic optical remote sensing pictures, the detection accuracy rate of proposed method is higher than 93%, while the false alarm rate is lower than 4% through target identification and treatment and phony target elimination, which has strong robustness.关键词
计算机视觉/舰船检测/视觉注意机制/显著性区域/梯度方向特征Key words
computer vision/detection on ships and warships/visual attention mechanism/saliency area/characteristics of gradient direction分类
信息技术与安全科学引用本文复制引用
徐芳,刘晶红,曾冬冬,王宣..基于视觉显著性的无监督海面舰船检测与识别[J].光学精密工程,2017,25(5):1300-1311,12.基金项目
国家自然科学基金资助项目(No.60902067) （No.60902067）
吉林省重大科技攻关项目(No.11ZDGG001) （No.11ZDGG001）
