Constraint Least-Squares Estimation for Polarimetric Parameters in Compact Data

被引：0

作者：

Yin, Junjun ^{[1
]}

Yang, Jian ^{[2
]}

机构：

[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China

[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

来源：

2016 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP) | 2016年

关键词：

Compact polarimetry; Least squares (LS); three component decomposition;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Feature extraction is very important for interpreting polarimteric SAR images. Compact polarimetric imaging mode has been provided as an experimental mode in ALOS/PALSAR-2 to enable wide swath coverages of more polarimeric observations compared to the conventional dual-pol modes. In this study, to explore more information from compact data, we propose a least squares (LS) method to estimate the parameters of surface, double-bounce, and volume scattering mechanisms. Verifications on ALOS/PALSAR-2 data show that significant features are preserved by the new method for surface characterisation.

引用

页码：624 / 625

页数：2

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