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2 特征来源、类别和分辨率

Tab.2 Source, category and resolution of features

编码 数据源 类别 特征 分辨率/m 1-17 Sentinel-2 光谱 blue; green; red; NIR; red edge 1-4; SWIR1-2; NDVI; EVI; NDWI; LSWI; NDBI; RRI; NDRI 10/20 18-20 Sentinel-2 缨帽 Brightness; Greenness; Wetness 10 21-25 Sentinel-2 纹理 Asm; Ent; Contrast; Idm; Corr 10 26-27 Sentinel-1 极化 VV; VH; 10 28-30 NASA DEM 地形 Elevation; Slope; Aspect 30 31 珞珈一号 经济 NTL 130