基于缨帽变换影像融合的遥感影像植被信息提取  

Extraction of Remote Sensing Image Vegetation Information Based on the Tasseled Cap Transformation Image Fusion

作　　者：汪燕[1] 董张玉[2] 

机构地区：[1]安徽省地质调查院,安徽合肥230001 [2]中国科学院东北地理与农业生态研究所,吉林长春130102

出　　处：《地理空间信息》2013年第4期85-86,89,共3页Geospatial Information

基　　金：国家水体污染控制与治理科技重大专项课题资助项目(2012ZX07207-004)

摘　　要：充分结合缨帽变换、遥感影像融合以及归一化植被指数(NDVI)的优点,提出了一种基于缨帽变换的遥感影像融合与NDVI相结合的植被信息提取方法,并与传统的NDVI方法进行了对比。实验表明,该方法很好地改善了遥感影像植被信息的提取精度,特别是提取道路两旁的行道树以及居民小区中的绿地信息,效果更好。Fully integrated the advantage of Tasseled Cap Transformation,Remote Sensing Image Fusion and Normalized Difference Vegetation Index,this paper proposed a method of Remote Sensing Image Fusion based on K-T and combination of NDVI to extract vegetation information,and compared with the traditional method of NDVI.The results show that the new method will improve the remote sensing images of vegetation information extraction accuracy,especially in the extraction of trees on both sides of the road and green information in the residential areas.

关 键 词：缨帽变换 影像融合 归一化植被指数 植被信息提取 

分 类 号：P237.3[天文地球—摄影测量与遥感]