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：2008
卷号：XXXVII Part B7
页码：331-334
出版社：Copernicus Publications
摘要：In the paper, a novel method for high spatial remote sensing data classification was put forward. The method was based on fuzzy set theory combined with NDVI. The classification experiments were carried out by the pan-sharpened multispectral QuickBird image. Then the classification process was given using the combined NDVI image with multispectral QuickBird image. The fuzzy set theory could solve the uncertainty of remote sensing information well. Accuracy evaluation on the experiment results was given. We concluded that the classification method based on fuzzy set theory was helpful for the classification accuracy of the final result. The hybrid method had higher classification performance
关键词：Fuzzy set; Classification; High spatial resolution remote sensing data
