Algorithm of target classification based on polarization synthesis is proposed, when it is acted as input value of classifier. Then, polarimetric SAR data is applied to classification experiment.
将其作为分类器的输入特征量，提出了一种基于极化合成的目标分类算法，并对实测极化SAR数据进行了分类实验。
But meanwhile, the data fusion coming from the coherence of different polarizations in the polarimetric data produces more error for lithological classification.
但是，由于不同极化状态回波信号之间的相关性，极化数据不可避免地产生数据冗余，反而增大了岩性分类的误差。
Aimed at SAR image interpretation, SVM shows good performance in image filtering, image segmentation, target discrimination and classification, as well as polarimetric SAR data classification.
针对SAR图像解译，SVM在图像滤波、图像分割、目标识别与分类、极化数据分类等过程中有很好的处理能力。
In classification stage, five kernel-based classifications are used and compared, and fusion methods are designed for wide-band polarimetric radar target classification.
在分类器设计环节，比较五种核非线性分类器，并根据宽带极化雷达目标散射数据的特点，使用融合分类的方法对目标进行分类。
Application research of rainfall estimation and hydrometeor type classification from X-band dual-polarimetric Doppler radar in Beijing [d]. Chengdu: Chengdu University of Information Technology, 1-64.
X波段双线极化多普勒雷达估测北京地区降雨强度以及水凝物粒子相态识别的研究[d]。成都：成都信息工程学院，1- 64。
Application research of rainfall estimation and hydrometeor type classification from X-band dual-polarimetric Doppler radar in Beijing [d]. Chengdu: Chengdu University of Information Technology, 1-64.
X波段双线极化多普勒雷达估测北京地区降雨强度以及水凝物粒子相态识别的研究[d]。成都：成都信息工程学院，1- 64。
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