NDLI: Remote sensing image classification of fuzzy C-means clustering based on the chaos ant colony algorithm

Content Provider	IEEE Xplore Digital Library
Author	Zheng, Zhongwu Qin, Yali
Copyright Year	2015
Description	Author affiliation: Institute of Fiber Communication & Information Engineering, Zhejiang University of Technology, Hangzhou, China (Zheng, Zhongwu; Qin, Yali)
Abstract	The fuzzy c-means (FCM) clustering algorithm obtains the initial clustering center by random selecting in the research of remote sensing image classification, which makes the FCM algorithm tend to be immersed into the dilemma of local optimal solution, and the FCM clustering algorithm has the difficulty to determine the number of clusters. In order to address these issues, we combine the FCM algorithm with the chaos ant colony algorithm to present an advanced FCM clustering algorithm. The initial clustering center and the number of clustering centers of remote sensing images are obtained as input data for the FCM algorithm with the advantage of ergodicity, global search and robustness in the chaos ant colony algorithm. Evaluating of obtained results from the classification accuracy of images shows the effectiveness of the advanced algorithm.
Starting Page	788
Ending Page	792
File Size	410270
Page Count	5
File Format	PDF
e-ISBN	9781467390989
DOI	10.1109/CISP.2015.7407984
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos the fuzzy c-means clustering algorithm the initial clustering center Clustering algorithms Signal processing algorithms Organizations the chaos ant colony algorithm Classification algorithms remote sensing image classification Remote sensing Image classification
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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