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Classification of forest types on the basis of analysis of radar images

机译:基于雷达图像分析的森林类型分类

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The paper presents the normalised radar cross sections /spl sigma//sup 0/ of different forests (coniferous, mixed and deciduous) in the Moscow region. The measurements were carried out by SIR C SAR for different combinations of receiving/transmitting polarisations (HH, VV and HV) in different frequency bands (L and C) at the number of observation angles (21/sup 0/ and 63/sup 0/). The model of the forest having layers consisting of linear scatterers with different characteristics was proposed. The possibility of forest type classification using L-band polarimetric data was discussed.
机译:本文介绍了莫斯科地区不同森林(针叶,混交和落叶)的归一化雷达横截面/ spl sigma // sup 0 /。通过SIR C SAR在不同的观察角度(21 / sup 0 /和63 / sup 0)上对不同频段(L和C)中的接收/发射极化(HH,VV和HV)的不同组合进行测量/)。提出了由具有不同特征的线性散射体组成的森林模型。讨论了使用L波段极化数据对森林类型进行分类的可能性。

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