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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >A Multibaseline Pol-InSAR Inversion Scheme for Crop Parameter Estimation at Different Frequencies
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A Multibaseline Pol-InSAR Inversion Scheme for Crop Parameter Estimation at Different Frequencies

机译：不同频率下作物参数估计的多基线Pol-InSAR反演方案

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A novel oriented volume over ground (OVoG) inversion scheme is developed and tested on a data set of simulated agricultural scenarios and real SAR acquisitions. The algorithm makes use of multibaseline measurements to estimate the whole set of the OVoG structural parameters (e.g., crop height, differential extinction between eigenpolarizations, and ground-to-volume ratios) and is significantly robust against nonvolumetric decorrelation contributions. The theoretical assessment points out that, in the dual-baseline case, the vegetation height can be estimated with a relative root-mean-square deviation (%RMSD) of 7.8% if the selected baselines fulfill the condition ( is the vertical wavenumber). Furthermore, the variance of the estimates is inversely related to the number of baselines . Compared with the dual-baseline case, the RMSD of the differential extinction is reduced by 45% (from 1.1 to 0.6 dB/m) when baselines are employed, whereas its mean bias is independent of . The proposed scheme has been assessed using a set of repeat-pass F-SAR acquisitions at L-, C-, and X-band of an agricultural area in Germany. Using two baselines, the height of maize and rape fields is estimated with an average 10% %RMSD if the inversion is carried out over L-band acquisitions. On the other hand, when X-band data are employed, one can obtain reliable estimates of wheat and barley height, with a %RMSD better than 24%. The - tudy also indicates the existence of differential wave propagation effects through maize ( between 0.7 and 1 dB/m) and rape canopies at L-band.
机译：开发了一种新颖的定向地上体积（OVoG）反演方案，并在模拟农业情景和实际SAR采集的数据集上进行了测试。该算法利用多基线测量来估计整个OVoG结构参数集（例如，作物高度，本征极化之间的差异消光以及地对体积比），并且对非体积解相关贡献具有显着的鲁棒性。理论评估指出，在双基线情况下，如果选定的基线满足条件（即垂直波数），则可以用7.8％的相对均方根偏差（％RMSD）估算植被高度。此外，估计的方差与基线数量成反比。与双基线情况相比，采用基线时微分消光的RMSD降低了45％（从1.1降至0.6 dB / m），而其平均偏差与无关。该提议的方案已通过在德国农业区的L，C和X波段使用一组重复通过F-SAR采集进行了评估。如果使用L波段采集进行反演，使用两个基线，玉米和油菜田的高度估计平均为10％RMSD。另一方面，当使用X波段数据时，可以获得可靠的小麦和大麦高度估计，％RMSD优于24％。 -研究还表明存在通过玉米（0.7至1 dB / m之间）和L波段的油菜冠层的差分波传播效应。

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