메뉴 건너뛰기




Volumn 1, Issue , 2012, Pages 377-382

SEMI-SUPERVISED MARGINAL FISHER ANALYSIS for HYPERSPECTRAL IMAGE CLASSIFICATION

Author keywords

dimensionality reduction; Hyperspectral image classification; manifold learning; marginal Fisher analysis; semi supervised learning

Indexed keywords


EID: 84952631932     PISSN: 21949042     EISSN: 21949050     Source Type: Conference Proceeding    
DOI: 10.5194/isprsannals-I-3-377-2012     Document Type: Conference Paper
Times cited : (41)

References (27)
  • 1
    • 77957990796 scopus 로고    scopus 로고
    • An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine
    • S. J. Li, H. Wu, D. S. Wan, J. .l. Zhu, "An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine," Knowledge-Based Systems, vol. 24, no. 1, pp. 40-48, 2011.
    • (2011) Knowledge-Based Systems , vol.24 , Issue.1 , pp. 40-48
    • Li, S.J.1    Wu, H.2    Wan, S.D.3    Zhu, L.J.4
  • 2
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. Guyon, A. Elisseeff, "An introduction to variable and feature selection," J. Machine Learning Research, vol. 3, pp. 1157-1182, 2003.
    • (2003) J. Machine Learning Research , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 3
    • 67650436064 scopus 로고    scopus 로고
    • Recent advances in techniques for hyperspectral image processing
    • A. Plaza, J. A. Benediktsson, J. W. Boardman et al., "Recent Advances in Techniques for Hyperspectral Image Processing," Remote Sensing of Environment, vol. 113, no. 1, pp. 110-122, 2009.
    • (2009) Remote Sensing of Environment , vol.113 , Issue.1 , pp. 110-122
    • Plaza, A.1    Benediktsson, J.A.2    Boardman, J.W.3
  • 4
    • 67650703137 scopus 로고    scopus 로고
    • Subspaces versus submanifolds: A comparative study in small sample size problem
    • H. Huang, J. W. Li, H. L. Feng, "Subspaces versus submanifolds: A comparative study in small sample size problem," Int. J. Pattern Recognition and Artificial Intelligence, vol. 23, no. 3, pp. 463-490, 2009.
    • (2009) Int. J. Pattern Recognition and Artificial Intelligence , vol.23 , Issue.3 , pp. 463-490
    • Huang, H.1    Li, W.J.2    Feng, L.H.3
  • 5
    • 79952022416 scopus 로고    scopus 로고
    • Semisupervised dimensionality reduction with pairwise constraints for hyperspectral image classification
    • Jan
    • S. G. Chen and D. Q. Zhang, "Semisupervised Dimensionality Reduction With Pairwise Constraints for Hyperspectral Image Classification," IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 2, pp. 369-373, Jan. 2011.
    • (2011) IEEE Geoscience and Remote Sensing Letters , vol.8 , Issue.2 , pp. 369-373
    • Chen, S.G.1    Zhang, D.Q.2
  • 6
    • 79957656636 scopus 로고    scopus 로고
    • Support vector selection and adaptation for remote sensing classification
    • June
    • G. T. Kaya, O. K. Ersoy, and M. E. Kamaşak, "Support Vector Selection and Adaptation for Remote Sensing Classification," IEEE Trans. Geoscience and Remote Sensing, vol. 49, no. 6, pp. 2071-2079, June 2011.
    • (2011) IEEE Trans. Geoscience and Remote Sensing , vol.49 , Issue.6 , pp. 2071-2079
    • Kaya Ersoy, K.O.G.T.1    Kamaşak, M.E.2
  • 7
    • 78650930212 scopus 로고    scopus 로고
    • An efficient method for supervised hyperspectral band selection
    • Jan
    • H. Yang, Q. Du, H. J. Su, Y. H. Sheng, "An Efficient Method for Supervised Hyperspectral Band Selection," IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 1, pp. 138-142, Jan. 2011.
    • (2011) IEEE Geoscience and Remote Sensing Letters , vol.8 , Issue.1 , pp. 138-142
    • Yang, H.1    Du, Q.2    Su, J.H.3    Sheng, H.Y.4
  • 8
    • 53849136303 scopus 로고    scopus 로고
    • Canonical correlation feature selection for sensors with overlapping bands: Theory and application
    • October
    • B. Paskaleva, M. M. Hayat, Z. P.Wang, J. S. Tyo, and S. Krishna, "Canonical Correlation Feature Selection for Sensors With Overlapping Bands: Theory and Application," IEEE Trans. Geoscience and Remote Sensing, vol. 46, no. 10, pp. 3346-3358, October 2008.
    • (2008) IEEE Trans. Geoscience and Remote Sensing , vol.46 , Issue.10 , pp. 3346-3358
    • Paskaleva, B.1    Hayat, M.M.2    Wang, P.Z.3    Tyo, J.S.4    Krishna, S.5
  • 9
    • 80052812614 scopus 로고    scopus 로고
    • Enhanced semi-supervised local Fisher discriminant analysis for face recognition
    • H. Huang, J. M. Liu, H. L. Feng, T. D. He, "Enhanced semi-supervised local Fisher discriminant analysis for face recognition," Future Generation Computer Systems, vol. 28, no. 1, pp. 244-253, 2011.
    • (2011) Future Generation Computer Systems , vol.28 , Issue.1 , pp. 244-253
    • Huang, H.1    Liu, M.J.2    Feng, L.H.3    He, D.T.4
  • 10
    • 80052927709 scopus 로고    scopus 로고
    • Ear recognition based on uncorrelated local Fisher discriminant analysis
    • H. Huang, J. W. Li, J. M. Liu, "Ear recognition based on uncorrelated local Fisher discriminant analysis," Neurocomputing, vol. 74, no. 17, pp. 3103-3113, 2011.
    • (2011) Neurocomputing , vol.74 , Issue.17 , pp. 3103-3113
    • Huang, H.1    Li, W.J.2    Liu, M.J.3
  • 11
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear Dimensionality reduction by locally linear embedding
    • S. T. Roweis,and L. K. Saul, "Nonlinear Dimensionality reduction by locally linear embedding, Science," vol.290, no. 5500, pp. 2323-2326, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, K.L.2
  • 12
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. B. Tenenbaum, V. de Silva, J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol.290, no. 5500, pp. 2319-2323, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, C.J.3
  • 13
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • M. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation," Neural Computation, vo. 15, no.6, pp. 1373-1396, 2003.
    • (2003) Neural Computation , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 14
    • 15044358511 scopus 로고    scopus 로고
    • Face recognition using Laplacianfaces
    • X. F. He, S. Yan, Y. Hu, et al, "Face recognition using Laplacianfaces," IEEE Trans. Pattern Anal. Mach. Intell., vol.27, no. 3, pp. 328-340, 2005.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell , vol.27 , Issue.3 , pp. 328-340
    • He, X.F.1    Yan, S.2    Hu, Y.3
  • 17
    • 33947194180 scopus 로고    scopus 로고
    • Graph embedding and extensions: A general framework for dimensionality reduction
    • S. Yan, D. Xu, B. Zhang, et al, "Graph embedding and extensions: A general framework for dimensionality reduction," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 1, pp. 40-51, 2007.
    • (2007) IEEE Trans. Pattern Anal. Mach. Intell , vol.29 , Issue.1 , pp. 40-51
    • Yan, S.1    Xu, D.2    Zhang, B.3
  • 19
    • 65049083029 scopus 로고    scopus 로고
    • Improving hyperspectral image classification using spatial preprocessing
    • S. Velasco-Forero and V. Manian, "Improving hyperspectral image classification using spatial preprocessing," IEEE Geoscience and Remote Sensing Letters, vol. 6, no. 2, pp. 297-301, 2009.
    • (2009) IEEE Geoscience and Remote Sensing Letters , vol.6 , Issue.2 , pp. 297-301
    • Velasco-Forero, S.1    Manian, V.2
  • 20
    • 65049084094 scopus 로고    scopus 로고
    • Semi-supervised hyperspectral image classification with cluster kernels
    • D. Tuia and G. Camps-Valls, "Semi-supervised Hyperspectral Image Classification with Cluster Kernels," IEEE Geoscience and Remote Sensing Letters, vol. 6, no. 2, pp. 224-228, 2009.
    • (2009) IEEE Geoscience and Remote Sensing Letters , vol.6 , Issue.2 , pp. 224-228
    • Tuia, D.1    Camps-Valls, G.2
  • 21
    • 44649132677 scopus 로고    scopus 로고
    • A unified framework for semi-supervised dimensionality reduction
    • Y. Q. Song, F. P. Nie, C.S. Zhang, S. M. Xiang, 'A unified framework for semi-supervised dimensionality reduction," Pattern Recognition, vol. 41, no. 9, pp. 2789-2799, 2008.
    • (2008) Pattern Recognition , vol.41 , Issue.9 , pp. 2789-2799
    • Song, Y.Q.1    Nie, P.F.2    Zhang, S.C.3    Xiang, M.S.4
  • 23
    • 68649111457 scopus 로고    scopus 로고
    • Spectral properties of the alignment matrices in manifold learning
    • H. Y. Zha and Zh. Y. Zhang, "Spectral Properties of the Alignment Matrices in Manifold Learning," SIAM Review, vol. 51, no. 3, pp. 545-566, 2009.
    • (2009) SIAM Review , vol.51 , Issue.3 , pp. 545-566
    • Zha, H.Y.1    Zhang, Z.Y.2
  • 24
    • 33144458972 scopus 로고    scopus 로고
    • Efficient and robust feature extraction by maximum margin criterion
    • H. Li, T. Jiang, and K. Zhang, "Efficient and robust feature extraction by maximum margin criterion," IEEE Trans. Neural Networks, vol. 17, no. 1, pp. 157-165, 2006.
    • (2006) IEEE Trans. Neural Networks , vol.17 , Issue.1 , pp. 157-165
    • Li Jiang, T.H.1    Zhang, K.2
  • 25
    • 44649132677 scopus 로고    scopus 로고
    • A unified framework for semi-supervised dimensionality reduction
    • Y. Q. Song, F. P. Nie, C. S. Zhang, S. M. Xiang, "A unified framework for semi-supervised dimensionality reduction," Pattern Recognition, vol. 41, no. 9, pp. 2789-2799, 2008.
    • (2008) Pattern Recognition , vol.41 , Issue.9 , pp. 2789-2799
    • Song, Y.Q.1    Nie, P.F.2    Zhang, S.C.3    Xiang, M.S.4
  • 26
    • 48649090541 scopus 로고    scopus 로고
    • Semi-supervised sub-manifold discriminant analysis
    • Y. Q. Song, F. P. Nie, C. S. Zhang, "Semi-supervised sub-manifold discriminant analysis," Pattern Recognition, vol. 29, no. 13, pp. 1806-1813, 2008.
    • (2008) Pattern Recognition , vol.29 , Issue.13 , pp. 1806-1813
    • Song, Y.Q.1    Nie, P.F.2    Zhang, S.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.