NDLI: River Extraction Based on Knowledge and Fuzzy Classification

Content Provider	IEEE Xplore Digital Library
Author	Aijun Chen
Copyright Year	2009
Abstract	Aiming at the disadvantage rivers can not be rapidly detected in high resolution remote sensing imagery, a new speedy algorithm is proposed. The knowledge of the grayness and the shape of a river are used in extracting process. With the knowledge that the grayness of river areas is smaller than that of their backgrounds and it fluctuates little, all sub-images, which are obtained to speed up processing, are classified as river area or non-river area by fuzzy classification. With the knowledge that a river consists of several long-rectangular segments, the sub-images having been classified as river areas are gathered and are judged whether they belong to a real river or not by clustering analysis. Simultaneously, the real rivers are roughly extracted. Experiments on real images were conducted, and the results demonstrate that the proposed approach is feasible and effective.
Starting Page	438
Ending Page	441
File Size	489749
Page Count	4
File Format	PDF
ISBN	9780769537351
DOI	10.1109/FSKD.2009.619
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Image segmentation Image resolution Image analysis Shape Clustering algorithms Educational institutions Rivers Remote sensing Fuzzy systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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