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Section A

Dayside corona aurora classification based on X-grey level aura matrices and feature selection

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Pages 3852-3863 | Received 01 Mar 2011, Accepted 09 Jun 2011, Published online: 19 Oct 2011

References

  • Akasofu , S. I. 1964 . The development of the auroral substorm . Planet. Space Sci. , 12 : 273 – 282 .
  • Deng , H. and Clausi , D. A. 2004 . Gaussian MRF rotation-invariant features for image classification . IEEE Trans. Pattern Anal. Mach. Intell. , 26 ( 7 ) : 951 – 955 .
  • L. Gaëlle, Toolbox Simple SVM documentation. DOI=http://cbio.ensmp.fr/sirene/documentationSimpleSVM.pdf
  • Guo , G.-D. , Jain , A. K. , Wei-Ying , M. and Hong-Jiang , Z. 2002 . Learning similarity measure for natural image retrieval with relevance feedback . IEEE Trans. Neural Netw. , 13 ( 4 ) : 811 – 820 .
  • Hu , H. Q. , Liu , R. Y. , Wang , J. F. , Yang , H. and Wang , X. 1999 . Statistic characteristics of the aurora observed at Zhongshan Station, Antarctica . Chin. J. Polar Res. , 11 ( 1 ) : 8 – 18 .
  • Kashyap , R. L. and Khotanzad , A. 1986 . A model-based method for rotation invariant texture classification . IEEE Trans. Pattern Anal. Mach. Intell. , 8 ( 4 ) : 472 – 481 .
  • Kira , K. and Rendell , L. A practical approach to feature selection . Proceedings of the 9th Int. Workshop on Machine Learning . San Francisco, CA, USA. pp. 249 – 256 .
  • Kononenko , I. Estimation attributes: Analysis and extensions of RelieF . European Conference on Machine Learning . Catania, Italy. pp. 171 – 182 .
  • Qin , X. and Yang , Y. H. Similarity measure and learning with gray level aura matrices (GLAM) for texture image retrieval . International Conference on Computer Vision and Pattern Recognition . Washington, DC. pp. 326 – 333 .
  • Qin , X. and Yang , Y. H. Basic gray level aura matrices: Theory and its application to texture synthesis . IEEE Conference on Computer Vision . Los Alamitos, California. pp. 128 – 135 .
  • Robnik-Šikonja , M. and Kononenko , I. 2003 . Theoretical and empirical analysis of ReliefF and RReliefF . Mach. Learn. , 53 ( 1 ) : 23 – 69 .
  • Stormer , C. 1955 . The Polar Aurora , Oxford : Clarendon Press .
  • Syrjäsuo , M. T. , Donovan , E. F. and Cogger , L. L. Content-based retrieval of auroral images – thousands of irregular shapes . International Conference on Visualization, Imaging and Image Processing . Marbella, Spain. pp. 224 – 228 .
  • Vapnik , V. N. 1998 . “ Statistical Learning Theory ” . New York : Wiley .
  • Wang , Y. R. , Gao , X. B. , Fu , R. and Jian , Y. Dayside corona aurora classification based on X-gray level aura matrices . Proceedings of the ACM International Conference on Image and Video Retrieval, CIVR’10 . Xi'an, China. pp. 282 – 287 .
  • Wu , H. M. , Yin , Z.-H. and Sun , F.-C. 2006 . Application of relief in handwriting recognition . Comput. Appl. , 26 ( 1 ) : 174 – 176 .
  • Yang , H. G. , Sato , N. and Makita , K. 2000 . Synoptic observations of auroras along the postnoon oval: A survey with all-sky TV observations at Zhongshan, Antarctica . J Atmos. Sol.-Terr. Phys. , 62 : 787 – 797 .

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