首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Parameter Estimation of Multilook Polarimetric SAR Data Based on Fractional Determinant Moments
【24h】

Parameter Estimation of Multilook Polarimetric SAR Data Based on Fractional Determinant Moments

机译:基于分数行列式矩的多视极化SAR数据参数估计

获取原文
获取原文并翻译 | 示例
           

摘要

This letter presents a novel method to estimate the equivalent number of looks (ENLs) and the texture parameters when multilook polarimetric SAR data are stochastically modeled by the product model. The method is based on the fractional moments of the determinant of the multilook polarimetric covariance (FMDC) matrix. The estimator of ENL is independent of the distribution of the texture model, and the estimator of the texture parameters can be derived for all commonly used multilook PolSAR distributions. K-d is given in this letter as multilook PolSAR distribution. The performance of the FMDC estimator is compared to the performance of other known estimators using simulated and real data.
机译:这封信提出了一种新颖的方法,用于当乘积模型随机建模多视场极化SAR数据时,估计等效的视场数(ENL)和纹理参数。该方法基于多视极化协方差(FMDC)矩阵行列式的分数矩。 ENL的估计量与纹理模型的分布无关,并且可以为所有常用的多视点PolSAR分布导出纹理参数的估计量。这封信中的K-d为多视点PolSAR分布。使用模拟数据和实际数据,将FMDC估计器的性能与其他已知估计器的性能进行比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号