NDLI: Drainage water level classification using support vector machines

Content Provider	IEEE Xplore Digital Library
Author	Rao, T. Rajasekhar, N. Rajinikanth, T.V.
Copyright Year	2013
Description	Author affiliation: VNR Vignana Jyothi Inst. of Eng. & Technol., Hyderabad, India (Rajasekhar, N.) \|\| Acharya Nagarjuna Univ., Guntur, India (Rao, T.) \|\| Sreenidhi Inst. of Sci. & Technol., Hyderabad, India (Rajinikanth, T.V.)
Abstract	Environmental monitoring is one of the key approaches to safeguard the global ecosystem. Classifications of different water levels facilitate in preserving water reserves and maintain the equilibrium in the ecosystem. In this paper we shall inspect the classification of drainage water levels in Canada. A powerful statistical tool called support vector machines is used to classify the said drainage water remote sensed spatial data sets. To boost the performance of support vector machines classifier a new generic algorithm based on parametric distribution model will be proposed. Later several evaluation metrics like kappa statistics are used to compare the results of the proposed algorithm with multi-layer perceptron neural networks and naive bayes classifiers.
Sponsorship	IEEE Gujarat Sect.
Starting Page	1
Ending Page	6
File Size	375887
Page Count	6
File Format	PDF
e-ISBN	9781479907274
DOI	10.1109/NUiCONE.2013.6780068
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-28
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Naive bayes classifier Support vector machine classification Classification Multi layer perceptron Feature extraction Remote sensed data Spatial databases Classification algorithms Data mining Kernel Support Vector Machines
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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