NDLI: Hyperspectral Feature Extraction using Selective PCA based on Genetic Algorithm with Subgroups

Content Provider	IEEE Xplore Digital Library
Author	Liu Ying Gu Yanfeng Zhang Ye
Copyright Year	2006
Description	Author affiliation: Dept. of Inf. Eng., Harbin Inst. of Technol. (Liu Ying; Gu Yanfeng; Zhang Ye)
Abstract	Feature selection and extraction are important applications of hyperspectral images. In this paper, a new algorithm, selective principal component analysis based on genetic algorithm with subgroups (SPCA-GAS) is proposed. This algorithm has the distinct characteristic of combining feature selection and extraction together via the introduction of subgroup concept. SPCA-GAS tries to solve the problem of how many and which bands should be selected for feature extraction (principal component analysis, PCA), and then the transformed features are used for classification. Concretely, bands with high separability are first selected and then transformed to remove correlation between them. In this way, useful features with high separability and no correlation are obtained, which help to improve classification accuracies compared with traditional feature selection and extraction methods. Numerical experiments are conducted on AVIRIS data with 100 bands, and satisfying results are reached by SPCA-GAS
Sponsorship	IEEE ICIC Int. National Natural Sci. Found. of China Beijing Jiaotong Univ. Kaosiung Univ. of Appl. Sci
Starting Page	652
Ending Page	656
File Size	168909
Page Count	5
File Format	PDF
ISBN	0769526160
DOI	10.1109/ICICIC.2006.459
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spectroscopy Image processing Diversity reception Focusing Simulated annealing Feature extraction Data mining Principal component analysis Genetic algorithms Hyperspectral imaging
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in