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2 高低频分量显著的10类样本分类正确率分析
Table 2 Analysis of classification accuracy of 10 types of samples with high and low frequency components

类别

子类

融合高频子带
灌木丛密集住宅移动住房停车场中密住宅
正确率/%1009510010095
平均值/%98

类别

子类

低频子带
高速公路十字路口天桥跑道稀疏住宅
正确率/%95909510095
平均值/%95