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