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Mathematical Problems in Engineering
Volume 2015, Article ID 917259, 13 pages
Research Article

Local and Global Geometric Structure Preserving and Application to Hyperspectral Image Classification

1Department of Computer and Information Science, University of Macau, Avenida Padre Tomas Pereira, Taipa 1356, Macau
2Department of Mathematics and Computer Science, Guangxi Normal University of Nationalities, Chongzuo 532200, China

Received 15 December 2014; Revised 16 March 2015; Accepted 16 March 2015

Academic Editor: Hakim Naceur

Copyright © 2015 Huiwu Luo 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 [3 citations]

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

  • Asma Fejjari, Karim Saheb Ettabaa, and Ouajdi Korbaa, “Modified Schroedinger Eigenmap Projections Algorithm for Hyperspectral Imagery Classification,” 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA), pp. 809–814, . View at Publisher · View at Google Scholar
  • Azadeh Kianisarkaleh, and Hassan Ghassemian, “Marginal discriminant analysis using support vectors for dimensionality reduction of hyperspectral data,” Remote Sensing Letters, vol. 7, no. 12, pp. 1160–1169, 2016. View at Publisher · View at Google Scholar
  • Wen-Ming Cao, Chu-Tao Zheng, Sheng Qian, and Hau-San Wong, “locality-sensitive term weighting for short text clustering,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10634, pp. 434–444, 2017. View at Publisher · View at Google Scholar