基于标准Huynen二分法的极化SAR完全模型分解强化改进
收稿日期: 2024-02-08
录用日期: 2024-05-09
网络出版日期: 2024-06-04
基金资助
国家自然科学基金(41871274);国家自然科学基金(61971402)
Reinforcement of the complete model-based decomposition for polarimetric SAR based on canonical Huynen dichotomy
Received date: 2024-02-08
Accepted date: 2024-05-09
Online published: 2024-06-04
基于模型的极化分解旨在将复杂目标极化散射在表面、二面和体散射等标准模型上加性展开，是实现极化合成孔径雷达精细解译的关键技术。然而模型分解存在负功率和信息利用不充分等问题。完全模型分解（CMD）及其改进虽解决了这些问题，却进一步引发零功率退化。其表现为，CMD并不总能从体散射移除后的剩余矩阵中分解出一个表面和二面分量，零散射功率不可避免。本文对CMD进行强化改进，发现CMD对表面和二面分量的提取本质上是一个偏好于体散射的标准Huynen二分法。通过将该分解自适应升级为标准Huynen二分法中偏好于表面和二面散射的二分法，强化分解总能无退化地分解出表面和二面散射分量，从而有效解决零功率问题。在实测数据上的定性和定量对比验证了所提方法的有效性。
李佳橦 , 李东 , 张云华 , 王勋 , 陆禾 . 基于标准Huynen二分法的极化SAR完全模型分解强化改进[J]. 中国科学院大学学报, 2026 , 43(3) : 404 -413 . DOI: 10.7523/j.ucas.2024.046
As an important technique for the fine interpretation of the polarimetric synthetic aperture radar targets， the model-based polarimetric decomposition is dedicated to additively expanding the complex target scatterings over the canonical models of surface scattering， double-bounce scattering， and volume scattering. However， model-based decompositions suffer from negative powers and insufficient utilization of polarimetric information. The complete model-based decomposition （CMD） and its improvement solve these problems， but cause the so-called zero-power degradation. This is because CMD can not always extract a surface component and a double-bounce component from the remaining matrix after the removal of the volume scattering， and zero scattering power is then inevitable. CMD is reinforced in this paper. We find that the extraction of the surface and double-bounce components in CMD is essentially a sub-dichotomy of the canonical Huynen dichotomy that prefers volume scattering. By adaptively upgrading it with the other two sub-dichotomies of the canonical Huynen dichotomy that prefer surface scattering and dihedral scattering， respectively， the reinforced CMD can always decompose the surface and double-bounce components without degradation，and the problem of zero power is thus effectively solved. Qualitative and quantitative comparisons on measured polarimetric SAR datasets are presented to demonstrate the good performance of the proposed method.
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