College of Surveying and Geo-Informatics, Tongji University,Shanghai 200092;
Research Center of Remote Sensing Spatial Information Technology, Tongji University, Shanghai 200092;
College of Surveying and Geo-Informatics, Tongji University,Shanghai 200092;
Research Center of Remote Sensing Spatial Information Technology, Tongji University, Shanghai 200092;
Research Center of Remote Sensing Spatial Information Technology, Tongji University, Shanghai 200092;
College of Surveying and Geo-Informatics, Tongji University,Shanghai 200092;
Research Center of Remote Sensing Spatial Information Technology, Tongji University, Shanghai 200092;
Multi-source remote sensing image; Wetland; Classification model; Support vector machine; Mixed kernel function;
机译:一种改进的SVM方法P-SVM用于遥感数据分类
机译:遥感数据分类的分层混合SVM方法
机译:遥感数据分类的分层混合SVM方法
机译:基于改进SVM的湿地遥感分类方法
机译:时间数据融合方法在基于遥感的湿地分类中的应用
机译:基于改进概率神经网络的遥感图像分类
机译:基于改进sVm的湿地遥感分类方法
机译:基于遥感数据的切萨皮克湾湿地分类研究