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Added Value of Coherent Copolar Polarimetry at X-Band for Crop-Type Mapping

机译:X波段的相干谱偏振谱的附加值为作物型映射

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A set of six spotlight TerraSAR-X images acquired at HH and VV polarizations in 2009 over an agricultural site in Germany are employed to evaluate the potential contribution of polarimetric features derived from this copolar mode to crop-type mapping. Results show that the inclusion of the correlation between copolar channels in the set of input features of the classifier consistently improves the classification performance with respect to the use of only backscattering coefficients. An increase around 8%-10% in overall accuracy, depending on the experiment setup, is achieved. Both user and producer accuracies are improved for all crop types, being the most noticeable contribution for barley, oat, and sugar beet. Different sets of input features, as well as classification and evaluation strategies, are tested in order to assess the robustness of this contribution.
机译:在2009年在德国的农业站点获得HH和VV冰地区获得的一组六种聚光射击器 - X图像,以评估从该协商模式导出的偏振特征的潜在贡献,以裁剪型映射。结果表明,在分类器的输入特征集中包含共同信道之间的相关性始终如一地改善了仅使用反向散射系数的分类性能。根据实验设置,实现了总体精度的增加约8%-10%。所有作物类型的用户和生产者准确性都得到了改善,是大麦,燕麦和甜菜最明显的贡献。测试了不同的输入特征以及分类和评估策略,以评估这一贡献的稳健性。

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