| 李玉成,张扬,时俊杰,伍逸枫,程铭.基于Mueller矩阵的气溶胶偏振识别方法[J].电子测量与仪器学报,2026,40(5):87-97 |
| 基于Mueller矩阵的气溶胶偏振识别方法 |
| Polarimetric identification of aerosols using the mueller matrix |
| |
| DOI： |
| 中文关键词: Mueller矩阵 偏振特性 退偏特性 光学厚度 气溶胶识别 |
| 英文关键词:Mueller matrix polarization characteristics depolarization properties optical thickness aerosol identification. |
| 基金项目: |
|
|
| Author | Institution |
| Li Yucheng | Aviation Maintenance NCO Academy of Air Force Engineering University, Xinyang 464000, China |
| Zhang Yang | Aviation Maintenance NCO Academy of Air Force Engineering University, Xinyang 464000, China |
| Shi Junjie | Aviation Maintenance NCO Academy of Air Force Engineering University, Xinyang 464000, China |
| Wu Yifeng | Aviation Maintenance NCO Academy of Air Force Engineering University, Xinyang 464000, China |
| Cheng Ming | The 93066 Unit of the People’s Liberation Army of China, Mudanjiang 157000, China |
|
| 摘要点击次数: 216 |
| 全文下载次数: 93 |
| 中文摘要: |
| 针对大气气溶胶类型精确识别与浓度定量反演面临的挑战，提出一种基于Mueller矩阵图样分析的气溶胶偏振特性识别方法。以光学厚度作为浓度等效参数，通过仿真与实验相结合，系统研究了烟雾（不规则、强吸收）与水雾（球形、弱吸收）2类典型粒子在0.77、2.27、4等光学厚度下的偏振散射与退偏特性演变规律。结果表明，光学厚度是主导偏振与退偏特性宏观演变的关键参数，随着其从0.77增加至4.00，总散射强度（M11）与圆偏振保持能力（M44）显著增强，散射退偏强度增幅超过75%。粒子的微观物理属性是决定其偏振响应差异的本质因素，在相同光学厚度下，水雾粒子的M44值较烟雾粒子高出约76%，且其散射图像因离散液滴分布呈现独特的破碎感纹理，而关键矩阵元素的角度分布特征（如M11与M44在180°方向的峰值）则表现出良好的稳健性，可作为有效的识别依据。实验验证显示，关键参数的实测值与仿真值相对误差在6%以内，验证了所提方法的可靠性，Mueller矩阵分析方法能够同步、敏感地提取由粒子微观结构与介质宏观浓度共同调制的偏振信息，为基于偏振遥感的大气气溶胶高精度识别与反演提供了一种新的有效途径。 |
| 英文摘要: |
| To address the challenges in the precise identification and quantitative concentration retrieval of atmospheric aerosols, this study proposes an aerosol identification method based on Mueller matrix pattern analysis, focusing on polarization characteristics. Using optical depth as a concentration-equivalent parameter, the evolution of polarization scattering and depolarization characteristics for two typical particle types—smoke (irregular, strongly absorbing) and water mist (spherical, weakly absorbing)—is systematically investigated through combined simulation and experiment at optical depths of 0.77, 2.27, and 4. The results indicate that optical depth is the key parameter governing the macroscopic evolution of polarization and depolarization properties. As it increases from 0.77 to 4.00, the total scattering intensity (M11) and circular polarization preservation capability (M44) increase significantly, with the scattered depolarization intensity rising by more than 75%. The microphysical properties of the particles are the fundamental factor determining differences in their polarization response. At the same optical depth, the M44 value for water mist particles is approximately 76% higher than that for smoke particles, and their scattering images exhibit a unique “fragmented” texture due to discrete droplet distribution. Furthermore, the angular distribution features of key matrix elements (e.g., the peaks of M11 and M44 at 180°) demonstrate good robustness and can serve as effective indicators for identification. Experimental validation shows that the relative error between measured and simulated key parameters is within 6%, confirming the reliability of the method. This study demonstrates that Mueller matrix analysis can simultaneously and sensitively extract polarization information modulated by both particle microstructure and medium concentration, providing a new and effective approach for the high-precision identification and retrieval of atmospheric aerosols based on polarimetric remote sensing. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
