基于多源遥感时序特征和卷积神经网络的露天矿区土地利用分类

刘昊, 杜守航, 邢江河, 李军, 高天琳, 尹程弘

Land use classification of open-pit mining areas based on multi-source remote sensing time series features and convolutional neural networks

LIU Hao, DU Shouhang, XING Jianghe, LI Jun, GAO Tianlin, YIN Chenghong

表4 特征优选结果

Tab.4 Feature selection results

类型 优选特征 经济 NTL 地形 Elevation,Slope 纹理 春季: Contrast; 秋季: Contrast; 冬季: Contrast 缨帽 春季: Brightness,Greenness,Wetness 夏季: Brightness,Greenness,Wetness 秋季: Brightness,Greenness,Wetness 冬季: Brightness,Greenness,Wetness 极化 春季: VV,VH; 夏季: VV,VH 秋季: VV,VH; 冬季: VV,VH 光谱 春季: B2,B3,B4,B8,B5,B6,B7,B8A,B11,B12,NDVI,EVI,NDBI,NDWI,LSWI,NDRI,RRI 夏季: B2,B3,B4,B8,B5,B6,B7,B8A,B11,B12,NDVI,NDBI,NDWI,LSWI,NDRI,RRI 秋季: B2,B3,B4,B8,B5,B6,B7,B8A,B11,B12,NDVI,EVI,NDBI,NDWI,LSWI,NDRI,RRI 冬季: B4,B8,B5,B6,B7,B8A,B11,B12,NDVI,NDBI,NDWI,LSWI,NDRI,RRI