Reflection of and vision for the decomposition algorithm development and application in earth observation studies using PolSAR technique and data
Reflection of and vision for the decomposition algorithm development and application in earth observation studies using PolSAR technique and data
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极化SAR技术与数据对地观测研究分解算法开发与应用的思考与展望
DOI：
10.1016/j.rse.2021.112498
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发表时间：
2021-08
影响因子：
13.5
通讯作者：
Yong Wang
中科院分区：
文献类型：
--
作者：
Dingfeng Duan;Yong Wang
在对过去的分解研究使用极化合成孔径雷达（PolSAR）技术和地球观测（EO）研究中的数据进行反思后，确定了三个主要问题。协方差矩阵[C]的元素C12和C32在分解中是必不可少的，不能忽略。现有的算法不能充分区分城市目标与大方位角的方向从植被。这些算法在公式和过程上都很复杂。为了解决这些问题并展望未来的算法发展，我们阐述了三个关键模块。它们是用于分离方位角对称或不对称目标的分离因子、用于模拟城市地区不对称目标的双平面以及推导双平面等效方位角的程序。在此基础上，提出了一种四分量分解算法。该算法已被应用到多个机载和星载PolSAR C-和L-波段数据集，覆盖地区在加拿大，法国，摩洛哥，和美国。主要的雷达目标类型包括三面角和二面角反射器（CR）、机场跑道/滑行道、方位角在0°和45°之间的城市目标、海洋和内陆水面、城市公园、草地、森林、农田和沙漠。分离因子以92.7%的平均正确率描绘对称或不对称目标。与推导出的等效方位角方向角耦合的双平面正确地模拟了二面角CR和城市非对称目标的雷达后向散射。该算法描绘了每种类型的地面目标与适当的和占主导地位的单，双，或体积散射。此外，该算法有四个容易解释的组成部分，其数学表达式并不复杂。因此，实现了解决上述三个问题的主要目标，并获得了在EO研究中具有良好平衡的可用性和配方和程序复杂性的算法。
After reflecting on the past decomposition studies using the polarimetric synthetic aperture radar (PolSAR) technique and data in Earth observation (EO) studies, three primary issues are identified. ElementsC12andC32of a covariance matrix, [C], are essential in the decomposition and cannot be ignored. Existing algorithms cannot adequately distinguish urban targets with large azimuth orientation angles from vegetation. The algorithms are complex in the formulation and procedure. To resolve the issues and envision future algorithm development, we have articulated three key modules. They are a separation factor to separate an azimuthally symmetric or asymmetric target, a diplane to model an asymmetric target in an urban area, and a procedure to derive an equivalent azimuth-orientation angle for the diplane. Then, a four-component decomposition algorithm was developed. The algorithm has been applied to multiple airborne and spaceborne PolSAR C- and L-band datasets covering areas in Canada, France, Morocco, and the USA. The primary radar target types included trihedral and dihedral corner reflectors (CRs), airport runway/taxiway, urban targets with azimuth-orientation angles ranging between 0° and 45°, ocean and inland water surfaces, city parks, grassland, forests, farmland, and desert. The separation factor delineates a symmetric or asymmetric target at a correct average rate of 92.7%. The diplane coupled with the derived equivalent azimuth-orientation angles correctly modeled radar backscatter from dihedral CRs and urban asymmetric targets. The algorithm delineated each type of ground target with an appropriate and dominant single, double, or volume scattering. Furthermore, the algorithm has four readily interpretable components, and its mathematical expression is not complicated. Therefore, the primary objectives to resolve the above three issues and to have an algorithm with well-balanced usability in EO studies and complexity in formulation and procedure are achieved.
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DOI：
10.1109/igarss47720.2021.9553096
发表时间：
2021-07
期刊：
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
影响因子：
--
作者：
Yin Zhang;Yong F. Wang;Dingfeng Duan;Hong Li
通讯作者：
Yin Zhang;Yong F. Wang;Dingfeng Duan;Hong Li
DOI：
10.1109/igarss.2019.8898017
发表时间：
2019-07
期刊：
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
影响因子：
--
作者：
Yong F. Wang;Dingfeng Duan;Hong Li
通讯作者：
Yong F. Wang;Dingfeng Duan;Hong Li
基于模型的 PolSAR 数据分解描绘城市目标的改进算法
影响因子：
5
作者：
Dingfeng Duan;Yong Wang
通讯作者：
Yong Wang
影响因子：
8.2
作者：
G. Sun;K. Ranson
通讯作者：
G. Sun;K. Ranson
DOI：
10.1109/36.739083
发表时间：
1999-12
期刊：
IEEE Trans. Geosci. Remote. Sens.
影响因子：
--
作者：
Yi-Cheng Lin;K. Sarabandi
通讯作者：
Yi-Cheng Lin;K. Sarabandi