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Original Articles

Rational function approximation for feature reduction in hyperspectral data

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Pages 101-110 | Received 23 May 2015, Accepted 19 Sep 2015, Published online: 11 Nov 2015

References

  • Acevedo, J. C., H. Haneishi, M. Yamaguchi, N. Ohyamaa, and J. Baez. 2004. “CIE-XYZ Fitting by Multispectral Images and Mean Square Error Minimization with a Linear Interpolation Function.” Revista Mexicana De Física 50 (6): 601–607.
  • Baudat, G., and F. Anouar. 2000. “Generalized Discriminant Analysis Using a Kernel Approach.” Neural Computation 12 (10): 2385–2404. doi:10.1162/089976600300014980.
  • Ben-Dor, E., S. Chabrillat, J. Demattê, G. Taylor, J. Hill, M. Whiting, and S. Sommer. 2009. “Using Imaging Spectroscopy to Study Soil Properties.” Remote Sensing of Environment 113: S38–S55. doi:10.1016/j.rse.2008.09.019.
  • Camps-Valls, G., N. Shervashidze, and K. M. Borgwardt. 2010. “Spatio-Spectral Remote Sensing Image Classification With Graph Kernels.” IEEE Geoscience and Remote Sensing Letters 7 (4): 741–745. doi:10.1109/LGRS.2010.2046618.
  • Fang, L., and D. C. Gossard. 1995. “Multidimensional Curve Fitting to Unorganized Data Points by Nonlinear Minimization.” Computer-Aided Design 27 (1): 48–58. doi:10.1016/0010-4485(95)90752-2.
  • Hosseini, A., and H. Ghassemian. 2012. “Classification of Hyperspectral and Multispectral Images by Using Fractal Dimension of Spectral Response Curve.” In 2012 20th Iranian Conference on Electrical Engineering (ICEE), 1452–1457. Tehran: IEEE.
  • Hosseini, A., and H. Ghassemian. 2013. “A New Hyperspectral Image Classification Approach Using Fractal Dimension of Spectral Response Curve.” In 2013 21st Iranian Conference on Electrical Engineering (ICEE), 1–6. Mashad: IEEE.
  • Kuo, B.-C., and D. A. Landgrebe. 2004. “Nonparametric Weighted Feature Extraction for Classification.” IEEE Transactions on Geoscience and Remote Sensing 42 (5): 1096–1105. doi:10.1109/TGRS.2004.825578.
  • Landgrebe, D. 2002. “Hyperspectral Image Data Analysis as a High Dimensional Signal Processing Problem.” IEEE Signal Processing Magazine 19 (1): 17–28. doi:10.1109/79.974718.
  • Marconcini, M., G. Camps-Valls, and L. Bruzzone. 2009. “A Composite Semisupervised SVM for Classification of Hyperspectral Images.” IEEE Geoscience and Remote Sensing Letters 6 (2): 234–238. doi:10.1109/LGRS.2008.2009324.
  • Melgani, F., and L. Bruzzone. 2004. “Classification of Hyperspectral Remote Sensing Images with Support Vector Machines.” IEEE Transactions on Geoscience and Remote Sensing 42 (8): 1778–1790. doi:10.1109/TGRS.2004.831865.
  • Mika, S., G. Ratsch, J. Weston, B. Scholkopf, and K. Muller. 1999. “Fisher Discriminant Analysis with Kernels.” In Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop, 41–48. Madison, WI: IEEE.
  • Mirzapour, F., and H. Ghassemian. 2015. “Improving Hyperspectral Image Classification by Combining Spectral, Texture, and Shape Features.” International Journal of Remote Sensing 36 (4): 1070–1096. doi:10.1080/01431161.2015.1007251.
  • Pal, M., and P. M. Mather. 2003. “An Assessment of the Effectiveness of Decision Tree Methods for Land Cover Classification.” Remote Sensing of Environment 86 (4): 554–565. doi:10.1016/S0034-4257(03)00132-9.
  • Pu, R., and P. Gong. 2004. “Wavelet Transform Applied to EO-1 Hyperspectral Data for Forest LAI and Crown Closure Mapping.” Remote Sensing of Environment 91 (2): 212–224. doi:10.1016/j.rse.2004.03.006.
  • Ruffin, C., and R. King. 1999. “The Analysis of Hyperspectral Data Using Savitzky-Golay Filtering-Theoretical Basis (Part 1).” In IEEE 1999 International Proceedings on Geoscience and Remote Sensing Symposium, Hamburg, 756–758. IEEE. doi:10.1109/IGARSS.1999.774430.
  • Shahshahani, B. M., and D. A. Landgrebe. 1994. “The Effect of Unlabeled Samples in Reducing the Small Sample Size Problem and Mitigating the Hughes Phenomenon.” IEEE Transactions on Geoscience and Remote Sensing 32 (5): 1087–1095. doi:10.1109/36.312897.
  • Tsai, F., and W. Philpot. 1998. “Derivative Analysis of Hyperspectral Data.” Remote Sensing of Environment 66 (1): 41–51. doi:10.1016/S0034-4257(98)00032-7.
  • Universidad-del-Pais-Vasco. 2015. “Hyperspectral Remote Sensing Scenes.” http://www.ehu.es/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes
  • Xiaofei, H., C. Deng, and H. Jiawei. 2008. “Learning a Maximum Margin Subspace for Image Retrieval.” IEEE Transactions on Knowledge and Data Engineering 20 (2): 189–201. doi:10.1109/TKDE.2007.190692.
  • Yanfeng, G., L. Ying, and Z. Ye. 2008. “A Selective KPCA Algorithm Based on High-Order Statistics for Anomaly Detection in Hyperspectral Imagery.” IEEE Geoscience and Remote Sensing Letters 5 (1): 43–47. doi:10.1109/LGRS.2007.907304.

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