红外与毫米波学报2018，Vol.37Issue(2)：154-162,9.DOI:10.11972/j.issn.1001-9014.2018.02.005
归一化阴影植被指数NSVI的构建及其应用效果
Construction and application effects of normalized shaded vegetation index(NSVI)
摘要
Abstract
The spectral features and differences in bright vegetation area, shaded vegetation area and water area were investigated by the experimental data from four medium resolution remote sensing images of ALOS AVNIR-2,CBERS-02B CCD,HJ1A-CCD2 and Landsat 7 ETM.Based on the near-infrared band and normalized differ-ence vegetation Index(NDVI), Normalized Shaded Vegetation Index(NSVI)was constructed and the enhance-ments of spectral differences and classification effect were also evaluated.The results show that NSVI has increased the relative diferences of the spectra in bright vegetation area,shaded vegetation area and water area,and reduced probability of misapplication for the spectral data.The NSVI threshold method was employed to classify the four experimental images.The overall accuracy is over 97%,and the overall Kappa coefficient is above 0.96.The de-tection accuracy of the shaded vegetation area is over 94%and the Kappa coefficient is also higher than 0.96.By using radiation differences of the near-infrared band between the ground objects,NSVI can solve the problem that NDVI can only partially weaken the topographic effect and enlarge the spectral differences among the ground ob-jects.NSVI enhances the validity of the ground objects especially in the shadow detection and avoids the"satura-tion"problem of NDVI.It can provide a new solution to remove the shadow in remote sensing images.关键词
归一化阴影植被指数/明亮区植被/阴影区植被/水体区/阴影检测Key words
normalized shaded vegetation index(NSVI)/bright vegetation area/shaded vegetation area/water ar-ea/shadow detection分类
信息技术与安全科学引用本文复制引用
许章华,林璐,王前锋,黄旭影,刘健,余坤勇,陈崇成..归一化阴影植被指数NSVI的构建及其应用效果[J].红外与毫米波学报,2018,37(2):154-162,9.基金项目
Supported by National Natural Science Foundation of China(41501361,41401385,30871965),Open Fund of Fujian Provincial Key La-boratory of Resources and Environment Monitoring&Sustainable Management and Utilization(ZD1403),Fujian Natural Science Foundation(2016J01188),and Scientific Research Foundation of Fuzhou University(XRC1345) （41501361,41401385,30871965）
