CAJ | 학술논문

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 K-CFAR、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。
침대전통항허경솔（CFAR）선지목표검측방법존재허경솔설치곤난、산법자동성차적문제，해문결합향농적특정대우선지목표화해면표현출불동특성적원리，즉선지목표적향농적위정치，해면적향농적위부치，제출료일충기우향농적적선지목표검측방법。문중이용8경 C 파단 Radarsat-2쌍겁화 SAR 수거진행검험，여 K-CFAR、G0-CFAR 급기우반사대칭성적 XC 선지목표검측산법진행대비분석，결과표명본문제출적방법구유교호적검측성능。
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-2 dual-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.