NDLI: Hyperspectral image feature classification using stationary wavelet transform

Content Provider	IEEE Xplore Digital Library
Author	Yonghui Wang Suxia Cui
Copyright Year	2014
Description	Author affiliation: Electr. & Comput. Eng. Dept., Prairie View A&M Univ., Prairie View, TX, USA (Suxia Cui) \|\| Eng. Technol. Dept., Prairie View A&M Univ., Prairie View, TX, USA (Yonghui Wang)
Abstract	Hyperspectral Images are a set of narrow spectrum band images used in the recognition and mapping of surface materials such as minerals and vegetation. Usually these Hyperspectral Image datasets are of high dimensional which makes its classification process a complex task and of low accuracy by using conventional classification approaches. Image dimensionality reduction and feature classification have become necessary steps in multi-dimensional hyperspectral image processing. This study investigates an effective algorithm for extracting spatial features using stationary wavelet transform (SWT) and reducing spectral dimensionality using principal component analysis (PCA). K-nearest neighbor classifier is used in the classification step for the features. Experimental results show that the proposed SWT-PCA algorithm outperforms the other two methods.
Starting Page	104
Ending Page	108
File Size	4095411
Page Count	5
File Format	PDF
ISBN	9781479942121
ISSN	21585695
e-ISBN	9781479942114
DOI	10.1109/ICWAPR.2014.6961299
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	K-nearest neighbor classification Feature extraction Stationary wavelet transform Hyperspectral feature classification Classification algorithms Discrete wavelet transforms Hyperspectral imaging Principal component analysis
Content Type	Text
Learning 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	Mr. Siddhartha Mukherjee siddhartha@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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	ndl-support@iitkgp.ac.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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