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：2010
卷号：XXXVIII - 4/C7
出版社：Copernicus Publications
摘要：The fusion image of IKONOS optical data and COSMO-SkyMed SAR image is used as the classifier inputs for land cover classification under an object-oriented paradigm. Firstly, Frost filter is selected to reduce speckle noises of SAR image. Three popular methods, including IHS, PCA and wavelet transform, are applied to fuse high resolution optical and SAR images. Comparing with other fusion methods, wavelet transform based fusion scheme is used for classification. Fuzzy knowledge is established based on the spectral, spatial and texture features derived from manual interpretation and expert knowledge. Finally, this proposed approach is compared with other traditional classification methods
关键词：Fuzzy Knowledge; Object-oriented Classification; High Resolution Remote Sensing Image; Fusion
