Title : 
Fuzzy approaches for improving a classification accuracy in remote sensing image data
         
        
            Author : 
Kim, Jin-Il ; Kim, Sung-Chun
         
        
            Author_Institution : 
Dept. of Comput. Eng., Dongeui Univ., Pusan, South Korea
         
        
        
        
        
        
            Abstract : 
The study proposes a fuzzy analytic algorithm for classification of mixed pixel (mixel) image. First, the misclassified problem and information loss of mixed pixels are examined. To solve the mixel´s uncertainty, a fuzzy function which produces a fuzzy number is suggested. Second, algorithms for the analytic fuzzy approach are represented. This analytic method is applied to two bridges across the Hon River and an area adjacent to the river in Seoul to verify it
         
        
            Keywords : 
fuzzy set theory; image classification; remote sensing; Hon River; Korea; Seoul; Sungsoo Bridge; Youngdong Bridge; classification accuracy; fuzzy analytic algorithm; fuzzy function; information loss; misclassified problem; mixed pixel image; mixel; remote sensing image data; Algorithm design and analysis; Data engineering; Intelligent sensors; Neural networks; Pixel; Radiometry; Remote sensing; Rivers; Satellite broadcasting; Spatial resolution;
         
        
        
        
            Conference_Titel : 
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
         
        
            Conference_Location : 
San Antonio, TX
         
        
            Print_ISBN : 
0-7803-2129-4
         
        
        
            DOI : 
10.1109/ICSMC.1994.399864