机译:一种自训练的半监督SVM方法进行遥感土地覆盖分类
School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, China,Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China,Graduate University of Chinese Academy of Sciences, Beijing 100049, China;
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;
School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, China;
School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, China;
Semisupervised support vector machines; Land cover classification; Self-training; Gustafson-Kessel fuzzy clustering; Self-adaptive mutation particle swarm; optimization;
机译:半监督SVM的自训练集合:在遥感图像像素分类中的应用
机译:利用转导SVM学习进行遥感影像的半监督像素分类
机译:一种用于遥感图像像素分类的新型半监督支持向量机
机译:基于ICA-SVM和D-S证据理论的遥感影像土地覆盖分类。
机译:使用多传感器遥感数据对土地利用/土地覆被进行分类的一种人工免疫网络方法。
机译:基于多光谱遥感影像的土地覆盖自动分类有效关键参数确定
机译:用于遥感影像半监督分类的新型转导支持向量机