DocumentCode :
291870
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
Volume :
1
fYear :
1994
fDate :
2-5 Oct 1994
Firstpage :
354
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;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/ICSMC.1994.399864
Filename :
399864
Link To Document :
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