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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Insights Into Polarimetric Processing for Wetlands From Backscatter Modeling and Multi-Incidence Radarsat-2 Data
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Insights Into Polarimetric Processing for Wetlands From Backscatter Modeling and Multi-Incidence Radarsat-2 Data

机译：从反向散射建模和多入射Radarsat-2数据深入了解湿地的极化处理

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We have observed unexpected results using the Freeman–Durden (FD) and other polarimetric decompositions in Radarsat-2 quad-pol data from many swamps in Eastern Ontario. In particular, the decompositions reported minimal backscatter from the double-bounce mechanism in a situation where there was compelling evidence that double-bounce backscatter contributed substantially to the return. This led to a hypothesis that the FD and similar models give erroneous results because of the physics of Fresnel reflection of wood, a lossy dielectric material, that makes up the vertical reflecting surfaces in swamps. We found some support for this hypothesis in the literature, and now report on an extensive theoretical and observational investigation. This work has shown that the Freeman-Durden decomposition, and other decompositions that use the same logic, will often mistake double-bounce backscatter as single-bounce backscatter in wetlands. This is a consequence of the fundamental physics of Fresnel reflection. It is important for users to be aware of this pitfall. Double-bounce backscatter from natural surfaces can be identified without recourse to polarimetric decomposition. The simplest, and most reliable, indicator of double-bounce backscatter is a high return in HH polarization. Double-bounce backscatter will generally produce higher return in HH than any other scattering mechanism. If both HH and VV polarizations are available, a high HH/VV intensity ratio is also a strong indicator of double-bounce backscatter. Additional modeling efforts are expected to provide further insights that can lead to improved applications of polarimetric data.
机译：我们已经使用Freeman-Durden（FD）和其他极化分解法在来自安大略省东部许多沼泽的Radarsat-2四极极化数据中观察到了意想不到的结果。特别是，在有令人信服的证据表明双反弹反向散射对收益有实质性贡献的情况下，分解报告了双反弹机制产生的最小反向散射。这导致一个假设，即FD和类似模型给出错误的结果，这是由于木材的菲涅耳反射的物理性质所致，该木材是一种有损耗的介电材料，构成沼泽中的垂直反射面。我们在文献中发现了对该假设的某些支持，现在报告了广泛的理论和观察研究。这项工作表明，Freeman-Durden分解以及其他使用相同逻辑的分解通常会在湿地中将双反射反向散射误认为是单反射反向散射。这是菲涅耳反射的基本物理学的结果。用户必须意识到这一陷阱，这一点很重要。可以识别自然表面的双反射反向散射，而无需进行极化分解。双反射反向散射的最简单，最可靠的指标是HH极化的高回报率。与任何其他散射机制相比，双反射反向散射通常会在HH中产生更高的返回。如果HH和VV极化均可用，则高HH / VV强度比率也很强地表明了双反射反向散射。预计将进行其他建模工作，以提供进一步的见解，从而可以改进极化数据的应用。

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