基于Fisher准则和TrAdaboost的高光谱相似样本分类算法

刘万军, 李天慧, 曲海成

Hyperspectral similar sample classification algorithm based on Fisher criterion and TrAdaboost

Wanjun LIU, Tianhui LI, Haicheng QU

表3 算法间的分类精度对比

Tab.3 Accuracy compare of each algorithm(%)

目标样 本类别 辅助样 本类别 SVM TrAdaboost H_TrAdaboost C1 vs C2 C6 vs C5 54.50 55.50 59.00 C1 vs C2 C5 vs C6 63.50 67.00 69.50 C1 vs C5 C2 vs C6 73.50 74.50 77.50 C1 vs C5 C2 vs C7 71.00 68.50 76.00 C1 vs C6 C2 vs C7 65.50 67.00 71.00 C1 vs C6 C7 vs C2 70.50 72.50 73.00 C2 vs C5 C1 vs C6 71.00 74.50 75.50 C2 vs C8 C1 vs C4 98.50 99.50 99.50 C2 vs C8 C1 vs C5 94.00 97.00 97.50