基于频带特征融合的GL-CNN遥感图像场景分类

崔先亮,陈立福,邢学敏,袁志辉

Remote Sensing Image Scene Classification based on Frequency Band Feature Fusion and GL-CNN

Xianliang Cui,Lifu Chen,Xuemin Xing,Zhihui Yuan

表3 不同算法的分类正确率对比

Table 3 Comparison of classification accuracy

分类算法 分类正确率/% MNCC[18] 88.26 ConvNET[19] 89.79 SVM[20] 78.57 CCM-BOVW[21] 86.64 MS-DCNN[10] 91.34 PCA-CNN[1] 92.86 本文算法 94.52