基于线性回归的极sar滤波的无限数look预测

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2020-09-26 DOI:10.1109/IGARSS39084.2020.9323632

M. Yahia, Tarig Ali, M. Mortula, R. Abdelfattah, S. Elmahdy

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引用次数: 1

摘要

本文将合成孔径雷达(SAR)无限数量级预测(INLP)滤波器的应用扩展到极化SAR (PoISAR)散斑滤波。为了保留极化信息，将标量线性回归规则适应于PolSAR环境。仿真和机载PolSAR数据的实验结果表明，该方法改进了极化滤波准则。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Infinite Number of Looks Prediction in Polsar Filtering by Linear Regression

In this paper, the application of the synthetic aperture radar (SAR) infinite number of looks prediction (INLP) filter is extended to polarimetric SAR (PoISAR) speckle filtering. The scalar linear regression rule has been adapted to PolSAR context in order to preserve the polarimetric information. Experimental results using simulated and airborne PolSAR data show that the proposed approach improved the polarimetric filtering criteria.

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IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

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