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This paper compares four commonly used fuzzy analytical methods for remote sensing digital image classification, i.e. fuzzy c-means, semi-supervised fuzzy cluster labeling, fuzzy nearest neighbor, and object-oriented fuzzy classifiers. Merits and weak points of each method were examined through a case study with a multispectral high-resolution airborne digital image of urban settings. Results showed...
The present paper deals with the land cover classification of high resolution IKONOS images using multi-feature fusion, which is the traditional optical features analysis combined with texture feature analysis. The study area covers the residential region of the urbanized environment of Beijing, China. Different optical features including grey data in different layers and texture features contains...
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