极化SAR K-Wishart分类器及其性能评价  

K-Wishart Classifier for PolSAR Data and Its Performance Evaluation

作　　者：李兰[1,2] 陈尔学[1,2] 李增元[1,2] 冯琦[1,2] 赵磊[1,2] 

机构地区：[1]中国林业科学研究院资源信息研究所,北京100091 [2]国家林业局遥感与信息技术重点开放性实验室,北京100091

出　　处：《武汉大学学报（信息科学版）》2016年第11期1498-1504,共7页Geomatics and Information Science of Wuhan University

基　　金：高分辨率对地观测系统重大专项(民用部分)(21-Y30B05-9001-13/15-1)~~

摘　　要：K-Wishart分布旨在通过统计方法更精确地描述极化SAR多视协方差矩阵或相干矩阵数据,揭示极化SAR影像在异质场景下的非高斯统计特性。以内蒙古自治区依根实验区和河北省遵化实验区的国内机载数据为例,分别进行了Wishart和K-Wishart非监督分类实验。研究结果表明,K-Wishart分类器适用于提取林地、园地、农村居民点等较不均匀区域。同时,本文通过分类准确性和稳定性两个方面对K-Wishart分类器的性能进行了评价。The complex K-Wishart distribution aims to describe the multilook covariance matrix and coherence matrix of polarimetric SAR（PolSAR）data by a statistical method to indicate the NonGaussian statistical characteristics of heterogeneous scenarios.Given the attractiveness of this approach for accurate description,it was applied to PolSAR classification.Two comparative unsupervised classification experiments using the Wishart and K-Wishart classifiers were designed for domestic airborne full-polarimetric SAR data from the Yigen test site in Inner Mongolia and the Zunhua test site in Hebei province.Preliminary results suggest that K-Wishart classifier is more suitable for extracting forests and buildings.The K-Wishart classifier performance was also evaluated in terms of overall accuracy and stability.

关 键 词：极化SAR Wishart分类器 K-Wishart分类器 非高斯特性 分类性能 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]