基于特征优选和时空融合算法的黄河三角洲湿地类别制图方法研究
冯倩, 张佳华, 邓帆, 吴贞江, 赵恩灵, 郑培鑫, 韩杨

A mapping methodology for wetland categories of the Yellow River Delta based on optimal feature selection and spatio-temporal fusion algorithm
FENG Qian, ZHANG Jiahua, DENG Fan, WU Zhenjiang, ZHAO Enling, ZHENG Peixin, HAN Yang
表5 Landsat8特征集描述
Tab.5 Description of the feature set from Landsat8
特征类别 特征名称 特征描述/公式
光谱特征 波段(band) 蓝,绿,红,近红,中红1,中红2
植被/水体指数 归一化植被指数(normalized difference vegetation index,NDVI) R n i r - R r e d R n i r + R r e d
比值植被指数(ratio vegetation index,RVI) R n i r R r e d
差值植被指数(differential vegetation index,DVI) R n i r - R r e d
归一化水体指数(normalized difference water index,NDWI) R g r e e n - R n i r R g r e e n + R n i r
盐分/土壤指数 盐分指数 2(salinity index 2,SI2) R g r e e n 2 + R r e d 2 + R n i r 2  
盐分指数 3(salinity index 3,SI3) R g r e e n 2 + R r e d 2  
盐分指数(salinity index,SI-T) ( R r e d R n i r ) × 100
优化型土壤调节植被指数(soil adjusted vegetation index,SAVI) R n i r - R r e d R n i r + R r e d + 0.6
土壤亮度指数(soil brightness index,SBI) R r e d 2 + R n i r 2  
K-T变换 亮度(brightness) 0.3029 R b l u e + 0.2786 R g r e e n + 0.4733 R r e d + 0.5599 R n i r + 0.5080 R s w i r l + 0.1872 R s w i r 2
绿度(greenness) - 0.2941 R b l u e - 0.2430 R g r e e n + 0.5424 R r e d + 0.7276 R n i r - 0.7170 R s w i r l - 0.1680 R s w i r 2
湿度(wetness) 0.1511 R b l u e + 0.1973 R g r e e n + 0.3283 R r e d + 0.3407 R n i r - 0.7117 R s w i r l - 0.4559 R s w i r 2
纹理特征 方差 (GLGM_Variance) i j p ( i , j ) × ( i - M e a n ) 2
对比度(GLGM_Contrast) i j p ( i , j ) × ( i - j ) 2
熵(GLGM_Entropy) i j p ( i , j ) × l n p ( i , j )
相关性(GLGM_Correlation) i j ( i - M e a n ) × ( j - M e a n ) p ( i , j ) 2 V a r i a n c e
二阶矩(GLGM_Second Moment) i j p ( i , j ) 2