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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Multiparameter inversion of a layer of vegetation canopy over rough surface from the system response function based on the mueller matrix solution of pulse echoes
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Multiparameter inversion of a layer of vegetation canopy over rough surface from the system response function based on the mueller matrix solution of pulse echoes

机译:基于脉冲回波的穆勒矩阵解的系统响应函数根据粗糙函数对植被冠层的多参数反演

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摘要

Under a polarized pulse wave incidence, the temporal Mueller matrix solution from vector radiative transfer (VRT) equation for a layer of nonspherical particles above randomly rough surface is constructed. The system response function based on the Mueller matrix solution is developed, which takes into account the scattering intensity matrix of the canopy, attenuation coefficient matrix through the canopy, scattering intensity matrix of underlying ground surface, and echoes time delay. This system response model preserves consistence with the Mueller matrix solution. To evaluate the system response function from the wave profiles of the received pulse echoes, an adaptive nonlinear estimation method (ALM) is proposed. When the pulse echoes are received, it yields the system response function, i.e., four system parameters. These system parameters are used to invert multiparameters of the vegetation canopy and underlying rough surface, which include the canopy depth, scatterers size, orientation, density and dielectric constant, and the surface roughness and dielectric constant. Numerical examples show good performance of our method as a tractable approach for multiparameters inversion. Potential application and some issues of multiparameters inversion are discussed. An envisaged sensor and platform for practical realization is proposed.
机译:在极化脉冲波入射下,根据矢量辐射传递(VRT)方程构造了随机粗糙表面上方的非球形粒子层的时间穆勒矩阵解。开发了基于Mueller矩阵解的系统响应函数,该函数考虑了冠层的散射强度矩阵,冠层的衰减系数矩阵,下层地面的散射强度矩阵以及回波时间延迟。该系统响应模型保持与Mueller矩阵解的一致性。为了从接收到的脉冲回波的波形中评估系统响应函数,提出了一种自适应非线性估计方法(ALM)。当接收到脉冲回波时,它产生系统响应函数,即四个系统参数。这些系统参数用于反转植被冠层和下层粗糙表面的多参数,包括冠层深度,散射体大小,方向,密度和介电常数,以及表面粗糙度和介电常数。数值算例表明我们的方法作为多参数反演的易处理方法具有良好的性能。讨论了潜在的应用以及多参数反演的一些问题。提出了一种实际实现的传感器和平台。

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