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Volumn , Issue , 2007, Pages 270-273

A new nonlinear dimensionality reduction method with application to hyperspectral image analysis

Author keywords

[No Author keywords available]

Indexed keywords

DATA POINTS; EUCLIDEAN SPACE; NONLINEAR DIMENSIONALITY;

EID: 49749128335     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2007.4422782     Document Type: Conference Paper
Times cited : (31)

References (16)
  • 2
    • 0001290987 scopus 로고
    • Automated spectral analysis: A geologic example using AVIRIS data, north Grapevine Mountains, Nevada
    • Environmental Research Institute of Michigan, Ann Arbor, MI, USA, pp
    • J. W. Boardman and F. A. Kruse, "Automated spectral analysis: A geologic example using AVIRIS data, north Grapevine Mountains, Nevada," Proceedings of the Tenth Thematic Conference on Geologic Remote Sensing, Environmental Research Institute of Michigan, Ann Arbor, MI, USA, pp. 1-407, 1994.
    • (1994) Proceedings of the Tenth Thematic Conference on Geologic Remote Sensing , pp. 1-407
    • Boardman, J.W.1    Kruse, F.A.2
  • 4
    • 14644435059 scopus 로고    scopus 로고
    • Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations
    • A. Plaza, P. Martinez, J. Plaza and R. Perez, "Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations," IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 3, pp. 466-479, 2005.
    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.3 , pp. 466-479
    • Plaza, A.1    Martinez, P.2    Plaza, J.3    Perez, R.4
  • 5
    • 0028467206 scopus 로고
    • Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach
    • J. C. Harsanyi and C. I. Chang, "Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach," IEEE Transactions on Geoscience and Remote Sensing, vol. 32, no. 4, pp. 779-785, 1994.
    • (1994) IEEE Transactions on Geoscience and Remote Sensing , vol.32 , Issue.4 , pp. 779-785
    • Harsanyi, J.C.1    Chang, C.I.2
  • 7
    • 0036821665 scopus 로고    scopus 로고
    • Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction
    • L. M. Bruce, C. H. Koger and J. Li, "Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction," IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no. 10, pp. 2331-2338, 2002.
    • (2002) IEEE Transactions on Geoscience and Remote Sensing , vol.40 , Issue.10 , pp. 2331-2338
    • Bruce, L.M.1    Koger, C.H.2    Li, J.3
  • 8
    • 33744719449 scopus 로고    scopus 로고
    • Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis
    • J. Wang and C. I. Chang, "Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis," IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 6, pp. 1586-1600, 2006.
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.6 , pp. 1586-1600
    • Wang, J.1    Chang, C.I.2
  • 9
    • 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, pp. 2323-2326, 2000.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 10
    • 2342517502 scopus 로고    scopus 로고
    • Think globally, fit locally: Unsupervised learning of low dimensional manifolds
    • L. K. Saul and S. T. Roweis, "Think globally, fit locally: unsupervised learning of low dimensional manifolds," Journal of Machine Learning Research, vol. 4, pp. 119-155, 2003.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 119-155
    • Saul, L.K.1    Roweis, S.T.2
  • 11
    • 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, vol. 15, pp. 1373-1396, 2003.
    • (2003) Neural Computation , vol.15 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 12
    • 33644973537 scopus 로고    scopus 로고
    • Robust locally linear embedding
    • H. Chang and D. Y. Yeung, "Robust locally linear embedding," Pattern Recognition, vol. 39, no. 6, pp. 1053-1065, 2006.
    • (2006) Pattern Recognition , vol.39 , Issue.6 , pp. 1053-1065
    • Chang, H.1    Yeung, D.Y.2
  • 13
    • 39049111776 scopus 로고    scopus 로고
    • Dimensionality reduction of hyperspectral imagery using improved locally linear embedding
    • G. Y. Chen and S.-E. Qian, "Dimensionality reduction of hyperspectral imagery using improved locally linear embedding," Journal of Applied Remote Sensing, vol. 1, 013509, 2007.
    • (2007) Journal of Applied Remote Sensing , vol.1 , pp. 013509
    • Chen, G.Y.1    Qian, S.-E.2
  • 14
    • 33750820859 scopus 로고    scopus 로고
    • Impact of initialization on design of end-member extraction algorithms
    • A. Plaza and C.-I Chang. "Impact of initialization on design of end-member extraction algorithms," IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 11, pp. 3397-3407, 2006.
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.11 , pp. 3397-3407
    • Plaza, A.1    Chang, C.-I.2
  • 16
    • 0041303604 scopus 로고    scopus 로고
    • Research Systems Inc, Boulder, CO:Research Systems, Inc
    • Research Systems Inc., ENVI User's Guide. Boulder, CO:Research Systems, Inc., 2001.
    • (2001) ENVI User's Guide


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.