CAJ | 학술논문

针对传统的基于散射机理的极化 SAR 图像分类方法易导致与雷达方位向具有一定倾角的建筑物（简称定向建筑物）被错划为森林等体散射类型的问题，提出一种引入极化方位角特征的分类方法。利用四分量分解模型并引入极化方位角补偿技术把像元划分为相应的主散射类型；定义一种极化方位角标准差参数作为区域匀质性测量指标，利用该参数从体散射类型中区分出定向建筑物类型；并在此基础上将 Wishart 分类器应用于极化 SAR 图像分类。采用 E-SAR 系统获取的 L 波段全极化数据进行实验，并与传统分类方法进行对比。定性和定量的比较结果表明，提出的方法不仅保留了传统分类方法的优势，且很好地解决了定向建筑物与森林的分类混淆现象。
침대전통적기우산사궤리적겁화 SAR 도상분류방법역도치여뢰체방위향구유일정경각적건축물（간칭정향건축물）피착화위삼림등체산사류형적문제，제출일충인입겁화방위각특정적분류방법。이용사분량분해모형병인입겁화방위각보상기술파상원화분위상응적주산사류형；정의일충겁화방위각표준차삼수작위구역균질성측량지표，이용해삼수종체산사류형중구분출정향건축물류형；병재차기출상장 Wishart 분류기응용우겁화 SAR 도상분류。채용 E-SAR 계통획취적 L 파단전겁화수거진행실험，병여전통분류방법진행대비。정성화정량적비교결과표명，제출적방법불부보류료전통분류방법적우세，차흔호지해결료정향건축물여삼림적분류혼효현상。
The conventional PolSAR image classification algorithm based on the scattering mechanism tends to misclassify the oriented buildings (not parallel to the radar azimuth)into the volume scattering category such as the forests.To overcome this problem,this paper developed an improved classification method by introducing polarization orientation angle (POA)feature. Firstly,it divided all pixels into corresponding dominated scattering categories by applying four-component decomposition mo-del combined with the polarization orientation angle compensation.Then,it defined a parameter,POA standard deviation,as an indicator of the region homogeneity measure and used this parameter to distinguish the oriented buildings from the volume scattering category.Based on this,it applied the Wishart iterative classifier to the PolSAR image classification.Using the E-SAR L band full polarimetric SAR data,this paper made a comparison between the proposed method and the conventional classification algorithm.The quantitative and qualitative comparisons result proves that the proposed method not only preserves the advantage of the conventional classification,but also effectively eliminates the classification confusion between the oriented buildings and the forests.