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A three-dimensional radar backscatter model of forest canopies

机译:森林冠层的三维雷达反向散射模型

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A three-dimensional forest backscatter model, which takes full account of spatial position of trees in a forest stand is described. A forest stand was divided into cells according to arbitrary spatial resolution. The cells may include "crown", "trunk", and "gap" components, determined by the shape, size and position of the trees. The forest floor is represented by a layer of "ground" cells. A ray tracing method was used to calculate backscattering components of 1) direct crown backscatter, 2) direct backscattering from ground, 3) direct backscattering from trunk, 4) crown-ground scattering, and 5) trunk-ground scattering. Both the attenuation and time-delay of microwave signals within cells other than "gap" were also calculated from ray tracing. The backscattering Mueller matrices of these components within the same range intervals were incoherently added to yield the total backscattering of an image pixel. By assuming a zero-mean, multiplicative Gaussian noise for image speckle, the high-resolution images were aggregated to simulate a SAR image with a given spatial resolution and number of independent samples (looks). A well-characterized 150 m/spl times/200 m forest stand in Maine, USA, was used to parameterize the model. The simulated radar backscatter coefficients were compared with actual JPL SAR data. The model gives reasonable prediction of backscattering coefficients averaged over the entire stand with agreement between model and data within 1.35 dB for all channels. The correlations between simulated images and SAR data (10 by 15 pixels) were positive and significant at the 0.001 level for all frequencies (P, L, and C bands) and polarizations (HH, HV, and VV).
机译:描述了一个三维森林反向散射模型,该模型充分考虑了林分中树木的空间位置。根据任意空间分辨率,将林分分为多个单元。单元可以包括“树冠”,“树干”和“间隙”组件,它们由树木的形状,大小和位置确定。森林地面由一层“地面”单元表示。使用射线跟踪方法来计算以下反向散射分量:1)直接冠后向散射,2)地面直接后向散射,3)树干直接后向散射,4)皇冠地面散射和5)树干地面散射。还从射线追踪中计算了除“间隙”以外的细胞内微波信号的衰减和时延。不相干地添加这些分量在相同范围间隔内的反向散射Mueller矩阵,以产生图像像素的总反向散射。通过假设图像散斑为零均值,高斯噪声,可以对高分辨率图像进行汇总,以模拟具有给定空间分辨率和独立样本(外观)数量的SAR图像。在美国缅因州,一个特征鲜明的150 m / spl次/ 200 m林分被用于参数化模型。将模拟的雷达后向散射系数与实际的JPL SAR数据进行比较。该模型可以合理预测整个机架的平均背向散射系数,并且所有通道的模型和数据均在1.35 dB之内。对于所有频率(P,L和C波段)和极化(HH,HV和VV),模拟图像与SAR数据(10 x 15像素)之间的相关性在0.001水平上是正的且显着。

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