双极化SAR目标分解方法研究及应用

摘要

在对常规雷达数据特征与地物分类研究的基础上,重点研究双极化SAR图像的目标分解方法,并基于神经网络将分解后得到的极化信息与常规雷达数据有机结合应用于植被的分类研究.结果表明,多种极化信息能够获取更多的地物信息,极大地提高了植被识别和分类能力.%Based on the research of the conventional radar data features and surface features classification,this paper mainly studies the target decomposition method of dual polarization SAR image,and organically combines the decomposition information of polarization with conventional radar data, based on the neural network, to be used in vegetation classification, which greatly enhances the ability of vegetation identification and classification ability.