Feature Utility In Polarimetric Radar Image Classificatiion
Feature Utility In Polarimetric Radar Image Classificatiion
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DOI：
10.1109/igarss.1989.576569
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发表时间：
1989-07
期刊：
影响因子：
--
通讯作者：
I.G. Cumnling;J. V. Van Zyl
中科院分区：
文献类型：
--
作者：
I.G. Cumnling;J. V. Van Zyl
检查偏振SAR图像中的信息内容，并确定包含对图像中地形特征分类重要的信息的偏振图像变量。结论是，当保留一半以上的图像变量时，就可以进行准确的分类。图像数据维数的降低可以节省存储空间，并可以提高分类器的性能。此外，结果表明，仅具有相位校准 CO-POL 或 SINGLE TX 通道的简化雷达系统可以提供接近全极化雷达的分类性能。
The information content in polarimetric SAR images is examined, and the polarimetric image variables containing the information that is important to the classification of terrain features in the images are determined. It is concluded that accurate classification can be done when just over half of the image variables are retained. A reduction in image data dimensionality gives storage savings, and can lead to the improvement of classifier performance. In addition, it is shown that a simplified radar system with only phase-calibrated CO-POL or SINGLE TX channels can give classification performance which approaches that of a fully polarimetric radar.