中国海洋大学学报（自然科学版）2017，Vol.47Issue(2)：101-105,5.DOI:10.16441/j.cnki.hdxb.20160225
一种新的合成孔径雷达图像船只几何特征提取方法
A Novel Ship Geometric Feature Extraction Method for SAR Imagery
摘要
Abstract
The monitoring of marine vessels plays an important role in the field of ocean transportation and fishery management.The launch of the high resolution synthetic aperture radar (SAR) makes it possible to identify the type of vessel,and further enhance the capability of the ocean monitoring.Geometric feature is one type of the important characteristics of vessel type recognition.This paper presents a new method to extract geometric features of vessels from SAR image.Different from the traditional method,this paper uses the maximally stable extremal regions (MSER) algorithm,rather than widely used the constant false alarm rate (CFAR) algorithm,to detect the location of the vessel.This method can effec tively reduce the false alarm rate in the case of the same detection rate,and has a faster speed.In the process of geometric feature extraction,this paper proposes an improved minimum bounding rectangle (MBR) extraction method.This method can effectively suppress the influence of the sidelobe on the geometric feature extraction of vessels.Experiments show that the proposed method can extract the geometric features of the shipmore quickly and accurately.关键词
船只检测与分类/几何特征/最大稳定极值区域/最小外接矩形/合成孔径雷达Key words
ship detection and classification/geometric features/maximally stable extremal regions(MSER)/minimum bounding rectangle(MBR)/synthetic aperture radar (SAR)分类
信息技术与安全科学引用本文复制引用
武思文,郎海涛,石洪基,李伟..一种新的合成孔径雷达图像船只几何特征提取方法[J].中国海洋大学学报（自然科学版）,2017,47(2):101-105,5.基金项目
国家自然科学基金项目(61471024) （61471024）
海洋公益性科研专项(201505002) （201505002）
北京化工大学双一流项目(PY201619)资助 Supported in part by the National Natural Science Foundation of China(61471024),National Marine Technology Program for Public Welfare (201505002) and The Higher Education and High-Quality and World-Class Universities (PY201619) （PY201619）
