A three-component scattering model for polarimetric SAR data
A three-component scattering model for polarimetric SAR data
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DOI：
10.1109/36.673687
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发表时间：
1998-05-01
影响因子：
8.2
通讯作者：
Durden, SL
中科院分区：
文献类型：
--
作者：
Freeman, A;Durden, SL
已经开发出一种方法，涉及三个简单的散射机制的组合，极化合成孔径雷达观测的拟合。其机制是冠层散射从一个云的随机取向的偶极子，均匀或双反弹散射从一对正交的表面具有不同的介电常数和布拉格散射从一个中等粗糙的表面，这种复合散射模型被用来描述极化后向散射从自然发生的散射。该模型被证明是描述的行为，从热带雨林的极化后向散射相当不错，通过将其应用到数据从美国宇航局/喷气推进实验室（JPL）的机载极化合成孔径雷达（AIRSAR）系统。例如，模型拟合可以清楚地区分洪水和非洪水森林以及森林和森林砍伐地区。该模型还被证明是一个预测工具，估计森林淹没和干扰的影响，全极化雷达signature.A模型拟合方法的优点是，散射的贡献，从三个基本的散射机制，可以估计集群的像素极化SAR图像，此外，它表明，三个散射机制的贡献，HH，HV，并且VV反向散射可以从模型拟合计算。最后，这种模型拟合方法是合理的，作为一个更复杂的散射模型，需要许多输入来解决前向散射问题的简化。
An approach has been developed that involves the fit of a combination of three simple scattering mechanisms to polarimetric SAR observations. The mechanisms are canopy scatter from a cloud of randomly oriented dipoles, even-or double-bounce scatter from a pair of orthogonal surfaces with different dielectric constants and Bragg scatter from a moderately rough surface, This composite scattering model is used to describe the polarimetric backscatter from naturally occurring scatterers. The model is shown to describe the behavior of polarimetric backscatter from tropical rain forests quite well by applying it to data from NASA/Jet Propulsion Laboratory's (JPL's) airborne polarimetric synthetic aperture radar (AIRSAR) system. The model fit allows clear discrimination between flooded and nonflooded forest and between forested and deforested areas, for example. The model is also shown to be usable as a predictive tool to estimate the effects of forest inundation and disturbance on the fully polarimetric radar signature.An advantage of this model fit approach is that the scattering contributions from the three basic scattering mechanisms can be estimated for clusters of pixels in polarimetric SAR images, Furthermore, it is shown that the contributions of the three scattering mechanisms to the HH, HV, and VV backscatter can be calculated from the model fit. Finally, this model fit approach is justified as a simplification of more complicated scattering models, which require many inputs to solve the forward scattering problem.