Journal of Computer and Communications

Vol.3 No.11(2015), Paper ID 61276, 7 pages

DOI:10.4236/jcc.2015.311006

 

Semi-Supervised Dimensionality Reduction of Hyperspectral Image Based on Sparse Multi-Manifold Learning

 

Hong Huang, Fulin Luo, Zezhong Ma, Hailiang Feng

 

Key Laboratory of Optoelectronic Technique and Systems, Ministry of Education, Chongqing University, Chongqing, China
Key Laboratory of Optoelectronic Technique and Systems, Ministry of Education, Chongqing University, Chongqing, China
Chongqing Institute of Surveying and Planning for Land, Chongqing, China
Key Laboratory of Optoelectronic Technique and Systems, Ministry of Education, Chongqing University, Chongqing, China

 

Copyright © 2015 Hong Huang, Fulin Luo, Zezhong Ma, Hailiang Feng 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.

 

How to Cite this Article


Huang, H. , Luo, F. , Ma, Z. and Feng, H. (2015) Semi-Supervised Dimensionality Reduction of Hyperspectral Image Based on Sparse Multi-Manifold Learning. Journal of Computer and Communications, 3, 33-39. doi: 10.4236/jcc.2015.311006.

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