利用香农熵的双极化合成孔径雷达船只检测  

Dual-polarimetric SAR Data for Ship Detection Based on Shannon Entropy

作　　者：龙梦启[1,2] 杨学志[1] 孟俊敏[2] 刘根旺[2] 张晰[2] 董张玉[1] 

机构地区：[1]合肥工业大学计算机与信息学院,合肥230009 [2]国家海洋局第一海洋研究所,山东青岛266061

出　　处：《遥感信息》2015年第5期14-19 25,共7页Remote Sensing Information

基　　金：国家自然科学基金(61371154;41076120;61271381;61102154);光电控制技术重点实验室和航空科学基金联合资助项目(201301P4007);中央高校基本科研业务费专项资金(2012HGCX0001);海洋公益性项目科研专项(200905029)

摘　　要：针对传统恒虚警率(CFAR)船只目标检测方法存在虚警率设置困难、算法自动性差的问题,该文结合香农熵特征对于船只目标和海面表现出不同特性的原理,即船只目标的香农熵为正值,海面的香农熵为负值,提出了一种基于香农熵的船只目标检测方法。文中利用8景C波段Radarsat-2双极化SAR数据进行检验,与KCFAR、G0-CFAR及基于反射对称性的XC船只目标检测算法进行对比分析,结果表明本文提出的方法具有较好的检测性能。The traditional constant false alarm rate(CFAR)ship detection methods have poor automaticity,and it is difficult to set false alarm rate.According to the principle that shannon entropy shows different features for ship and sea,we present a new ship detection algorithm based on shannon entropy.To test the detection performance of the new method,eight scenes of C band Radarsat-2dual-polarimetric SAR test data were used.The algorithm of K-CFAR,G0-CFAR and XC ship detection algorithm based on reflection symmetry were contrastively analyzed with the new method for ship detection.The experimental results demonstrate that the new method has preferable detection performance.

关 键 词：双极化 合成孔径雷达 香农熵 船只目标 目标检测 

分 类 号：TN957.52[电子电信—信号与信息处理]