Ship Recognition in High Resolution SAR Imagery Based on Feature Selection

摘要：

　　Ship detection and recognition are crucial components of SAR ocean monitoring applications.In the literature,various features have been proposed for ship pattern analysis.However,operators often face the dilemma that they have little knowledge on feature selection.In this paper,we first propose a novel RCS density encoding feature for ship description.A novel two-stage feature selection approach is then presented.Finally,ship recognition experiment conducted with high resolution SAR imagery reveals a percent of correct classification as high as 91.54%.

关键词： ship recognition feature selection high resolution SAR imagery RCS density encoding

作者: CHEN Wen-ting JI Ke-feng XING Xiang-wei ZOU Huan-xin SUN Hao

作者单位: School of Electronic Science and Engineering National University of Defense Technology Changsha 410073,PR China

会议类型: 国际会议

会议名称: 2012年遥感中的计算机视觉国际会议

会议地点: 厦门

会议语种:英文

页码: 1-5

在线出版日期: 2012-12-16（万方平台首次上网日期，不代表论文的发表时间）