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Mathematical Problems in Engineering
Volume 2013, Article ID 537268, 13 pages
Research Article

A New Feature Selection Method for Hyperspectral Image Classification Based on Simulated Annealing Genetic Algorithm and Choquet Fuzzy Integral

College of Computer and Information Engineering, Hohai University, Nanjing 211100, China

Received 1 June 2013; Revised 14 September 2013; Accepted 15 September 2013

Academic Editor: Gianluca Ranzi

Copyright © 2013 Hongmin Gao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Raj Bridgelall, J. Bruce Rafert, Denver Tolliver, Raj Bridgelall, J. Bruce Rafert, and Denver Tolliver, “Hyperspectral imaging utility for transportation systems,” Sensors And Smart Structures Technologies For Civil, Mechanical, And Aerospace Systems 2015, vol. 9435, 2015. View at Publisher · View at Google Scholar
  • Fengchen Huang, Aiye Shi, and Zhenyu He, “Game theory based band selection for hyperspectral images,” Proceedings of SPIE - The International Society for Optical Engineering, vol. 9817, 2015. View at Publisher · View at Google Scholar
  • Bang-Ning Hwang, and Yung-Chi Shen, “Decision Making for Third Party Logistics Supplier Selection in Semiconductor Manufacturing Industry: A Nonadditive Fuzzy Integral Approach,” Mathematical Problems in Engineering, vol. 2015, pp. 1–12, 2015. View at Publisher · View at Google Scholar
  • Chenming Li, Zhen Zhang, Linghui Chen, Zhenyu He, Hongmin Gao, and Hui Zhou, “Dimension reduction and classification of hyperspectral remote sensing images based on sensitivity analysis of artificial neural network,” Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, vol. 38, no. 11, pp. 2715–2723, 2016. View at Publisher · View at Google Scholar