期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2006
卷号：XXXVI Part 4
出版社：Copernicus Publications
摘要：A methodology is proposed for extracting information on land cover based on hyperspectral reflectance data derived from satellite image, without supervising with ground truth. The reflectance percentage, being a characteristic feature of the ground object acts as an indirect guidance to the classification and hence the method is named semi-supervised classification. It is tried with IRS LISS IV image of a specific part of southern West Bengal, India. At least three categories, viz. vegetation, waterbody and open land are distinctly identified with the present technique. It is hoped that a method like this is more useful in the analysis of hyperspectral imagery, which is an area of upthrust in future
关键词：Semi-supervised classifica tion; Hyperspectral; Reflectance; IRS; Land cover
