Decomposition of polarimetric synthetic aperture radar backscatter from upland and flooded forests
Decomposition of polarimetric synthetic aperture radar backscatter from upland and flooded forests
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DOI：
10.1080/014311697218449
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发表时间：
1997-04
影响因子：
3.4
通讯作者：
Y. Wang;F. Davis
中科院分区：
文献类型：
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作者：
Y. Wang;F. Davis
摘要 本研究的目标是将高地和淹没森林的偏振合成孔径雷达 (SAR) 图像分解为三种反向散射类型：单反射、双反射和交叉偏振反向散射。我们使用了一种利用反向散射项的协方差矩阵的分解方法。首先，我们将该方法应用于位于光滑干燥湖床上的二面体和三面角反射器的 SAR 图像，并验证其能够准确地隔离不同的反向散射类型。然后，我们应用该方法分解来自高地和淹没森林的多频喷气推进实验室 (JPL) 机载 SAR (AIRSAR) 反向散射，以解释森林表面 SAR 图像中的散射分量。对于加州高地黄松林，随着SAR波长从C波段增加到P波段，奇数次反射的散射减少，偶数次反射的散射增加。跨波波长随波长没有明显趋势...
Abstract The goal of this research was to decompose polarimetric Synthetic Aperture Radar (SAR) imagery of upland and flooded forests into three backscatter types: single reflection, double reflection, and cross-polarized backscatter. We used a decomposition method that exploits the covariance matrix of backscatter terms. First we applied this method to SAR imagery of dihedral and trihedral corner reflectors positioned on a smooth, dry lake bed, and verified that it accurately isolated the different backscatter types. We then applied the method to decompose multi-frequency Jet Propulsion Laboratory (JPL) airborne SAR (AIRSAR) backscatter from upland and flooded forests to explain scattering components in SAR imagery from forested surfaces. For upland ponderosa pine forest in California, as SAR wavelength increased from C-band to P-band, scattering with an odd number of reflections decreased and scattering with an even number of reflections increased. There was no obvious trend with wavelength for cross-po...