基于CNN的不同空间分辨率影像土地覆被分类研究
李宏达,高小红,汤敏

Land Cover Classification for Different Spatial Resolution Images from CNN
Hongda Li,Xiaohong Gao,Min Tang
表2 分类精度评价
Table2 Classification accuracies evaluation
Landsat-8Lanssat-8(融合后)Sentinel-2ASPOT-6GF-2
生产者精度/%用户精度/%生产者精度/%用户精度/%生产者精度/%用户精度/%生产者精度/%用户精度/%生产者精度/%用户精度/%
林地88.4894.1296.3796.5493.1297.7393.5598.8493.7797.95
耕地89.2978.1393.4287.9894.8398.2193.6891.0596.6091.65
草地78.4387.5990.0887.5786.8278.9394.2480.6093.1775.79
河流76.5696.0884.1199.4589.9496.4097.07100.0090.7298.55
水库坑塘85.71100.0085.1995.8391.03100.0092.86100.0088.6999.62
富营养化水体————57.14100.0096.88100.0098.5391.78————
工业仓储用地87.1093.1094.92100.0099.6093.9899.0194.1796.8984.52
城镇建设用地98.8787.6394.2291.4793.5693.6191.4697.8390.9595.62
总体精度/%89.0192.6492.3193.6592.46
Kappa系数0.860.910.900.920.90