Green, R.O., M.L. Eastwood, C.M. Sarture, T.G. Chrien, M. Aronsson,
B.J. Chippendale, J.A. Faust, B.E. Pavri, C.J. Chovit, M. Solis,
M.R. Olah, and O. Williams, ,1998. Imaging spectroscopy and
the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS),
Remote Sensing of Environment
, 65:227-248.
Huang, H.-Y., and B.-C. Kuo, 2010. Double nearest proportion feature
extraction for hyperspectral-image classification,
IEEE Transactions
on Geoscience and Remote Sensing
, 48(11):4034–4046.
Hughes, G.F., 1968. On the mean accuracy of statistical pattern
recognition,
IEEE Transactions on
Information Theory
, IT-
14(1):55–63.
Imani, M., and H. Ghassemian, 2014. Band clustering-based feature
extraction for classification of hyperspectral images using
limited training samples,
IEEE Geoscience and Remote Sensing
Letter
, 11(8):1325–1329.
Imani, M., and H. Ghassemian, 2015. Feature space discriminant
analysis for hyperspectral data feature Reduction,
ISPRS Journal
of Photogrammetry and Remote Sensing
, 102: 1-13.
Jia, X., and J.A. Richards, 1994. Efficient maximum likelihood
classification for imaging spectrometer data sets,
IEEE
Transactions on Geoscience and Remote Sensing
, 32(2):274–281.
Jia, X., and J.A. Richards, 1999. Segmented principal components
transformation for efficient hyperspectral remote-sensing image
display and classification,
IEEE Transactions on Geoscience and
Remote Sensing
, 37(1):538–542.
Jia, X., and J.A. Richards, 2002. Cluster-space representation for
hyperspectral data classification,
IEEE Transactions Geoscience
and Remote Sensing
, 40(3):593–598.
Kamandar, M., and H. Ghassemian, 2013. Linear feature extraction for
hyperspectral images based on information theoretic learning,
IEEE Geoscience and Remote Sensing Letters
, 10(4):702–706.
Kunkel, B., F. Blechinger, D. Viehmann, H. van der Piepen, R.
Doeffer, 1991. ROSIS imaging spectrometer and its potential
for ocean parameter measurements (airborne and spaceborne),
International Journal of Remote Sensing
, 12 (4):753–761.
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.
Ladha, L., and T. Deepa, 2011. Feature selection methods and
algorithms,
International Journal on Computer Science and
Engineering
, 3(5):1787–1797.
Liao, W., A. Pižurica, P. Scheunders, W. Philips, and Y. Pi, 2013.
Semisupervised local discriminant analysis for feature extraction
in hyperspectral images,
IEEE Transactions on Geoscience and
Remote Sensing
, 51(1):184–198.
Li, M., and B. Yuan, 2005. 2D-LDA: A statistical linear discriminant
analysis for image matrix,
Pattern Recognition Letters
, 26(5):527–532.
Noushath, S., G. Hemantha Kumar, and P. Shivakumara, 2006.
(2D)
2
LDA: An efficient approach for face recognition,
Pattern
Recognition
, 39 (7):1396–1400.
Pearlman, J., P. Barry, C. Segal, J. Shepanski, D. Beiso, and S. Carman,
2003. Hyperion, a space-based imaging spectrometer,
IEEE Trans-
actions on Geoscience and Remote Sensing
, 41(6):1160–1173.
Saini, M., B. Christian, N. Joshi, D. Vyas, P. Marpu, and N.S.R.
Krishnayya, 2014. Hyperspectral data dimensionality
reduction and the impact of multi-seasonal Hyperion EO-1
imagery on classification accuracies of tropical forest species,
Photogrammetric Engineering & Remote Sensing
, 80(8):773–784.
Wen, J., Z. Tian, X. Liu, and W. Lin, 2013. Neighborhood preserving
orthogonal PNMF feature extraction for hyperspectral image
classification,
IEEE Journal of Selected Topics in Applied Earth
Observations and Remote Sensing
, 6(2):759–768.
Xie, F., D. Chen, J. Meligrana, Y. Lin, and W. Ren, 2013. Selecting
key features for remote sensing classification by using decision-
theoretic rough set model,
Photogrammetric Engineering &
Remote Sensing
, 79(9):787–797.
Yang, W.-H., and D.-Q. Dai, 2009. Two-dimensional maximummargin
feature extraction for face recognition,
IEEE Transactions on Systems,
Man, and Cybernetics, Part B: Cybernetics
, 39(4):1002–1012.
Yin, J., C. Gao, and X. Jia, 2012. Using Hurst and Lyapunov exponent
for hyperspectral image feature extraction,
IEEE Geoscience and
Remote Sensing Letters
, 9(4):705–709.
Yin, J., C. Gao, and X. Jia, 2013. Wavelet packet analysis and gray
model for feature extraction of hyperspectral data,
IEEE
Geoscience and Remote Sensing Letters
, 10(4):682–686.
Yin, J., Y. Wang, and J. Hu, 2012. A new dimensionality reduction
algorithm for hyperspectral image data using evolutionary strategy,
IEEE Transactions on Industrial Informatics
, 8(4):935–943.
Zhao, K., S.C. Popescu, and X. Zhang, 2008. Bayesian learning with
Gaussian processes for supervised classification of hyperspectral
data,
Photogrammetric Engineering & Remote Sensing
74(10):1223–1234.
Zhang, L., L. Zhang, D. Tao, and X. Huang, 2013. Tensor
discriminative locality alignment for hyperspectral image
spectral-spatial feature extraction,
IEEE Transactions on
Geoscience and Remote Sensing
, 51(1):242–256.
(Received 30 August 2014; accepted 31 March 2015; final ver-
sion 11 April 2015)
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