Research into a Feature Selection Method for Hyperspectral Imagery Using PSO and SVM-Reference-Cited by-同舟云学术

Research into a Feature Selection Method for Hyperspectral Imagery Using PSO and SVM

Published:2007-12 Issue:4 Volume:17 Page:473-478
ISSN:1006-1266
Container-title:Journal of China University of Mining and Technology
language:en
Short-container-title:Journal of China University of Mining and Technology

Author:

YANG Hua-chao,ZHANG Shu-bi,DENG Ka-zhong,DU Pei-jun

Publisher

Elsevier BV

Subject

Mechanical Engineering,Engineering (miscellaneous),Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference14 articles.

1. Feature selection in hyperspectral classification based on tabu search algorithm;Yang;Hydrographic Surveying and Charting,2006

2. Robust support vector method for hyperspectral data classification and knowledge discovery;Custavo;IEEE Transactions on Geoscience and Remote Sensing,2004

3. Classification using ASTER data and SVM algorithms: the case study of Beer Sheva, Israel;Zhu;Remote Sensing of Environment,2002

4. Particle swarm optimization;Kenned,1995

5. Weighted gradient direction based chaos optimization algorithm for nonlinear programming problem;Liu,2002

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