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5 样本1上算法间的分类精度对比

Tab.5 Accuracy compare of each algorithm in sample 1

算法 统计值 15% 10% 5% 3% 2% 1% SVM OA/% 71.00 71.00 69.00 65.50 63.50 63.50 Kappa 0.70 0.71 0.67 0.64 0.63 0.62 TrAdaboost OA/% 77.50 76.00 71.00 69.50 68.50 67.00 Kappa 0.77 0.73 0.71 0.68 0.68 0.65 H_TrAdaboost OA/% 79.50 77.50 73.50 72.00 70.50 69.50 Kappa 0.79 0.77 0.73 0.72 0.70 0.69