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Volumn 34, Issue 1, 2008, Pages 26-36

Evaluation and comparison of dimensionality reduction methods and band selection

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERICS; CLASSIFICATION (OF INFORMATION); FINANCIAL DATA PROCESSING; GARNETS; MAPS; REMOTE SENSING; SILICA; SILICATE MINERALS; SPACE OPTICS;

EID: 49749135207     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m08-007     Document Type: Article
Times cited : (19)

References (19)
  • 1
    • 0036821665 scopus 로고    scopus 로고
    • Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction
    • Bruce, L.M., Koger, C.H., and Li, J. 2002. 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) 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
  • 2
    • 0033311252 scopus 로고    scopus 로고
    • Interference and noise-adjusted principal components analysis
    • Chang, C.I., and Du, Q. 1999. Interference and noise-adjusted principal components analysis. IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No. 5, pp. 2387-2396.
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.5 , pp. 2387-2396
    • Chang, C.I.1    Du, Q.2
  • 3
    • 0033224770 scopus 로고    scopus 로고
    • A joint band prioritization and band decorrelation approach to band selection for hyperspectral image classification
    • Chang, C.I., Du, Q., Sun, T.S., and Althouse, M.L.G. 1999. A joint band prioritization and band decorrelation approach to band selection for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No. 6, pp. 2631-2641.
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.6 , pp. 2631-2641
    • Chang, C.I.1    Du, Q.2    Sun, T.S.3    Althouse, M.L.G.4
  • 5
    • 39049111776 scopus 로고    scopus 로고
    • Dimensionality reduction of hyperspectral imagery using improved locally linear embedding
    • Chen, G.Y., and Qian, S.E. 2007. Dimensionality reduction of hyperspectral imagery using improved locally linear embedding. Journal of Applied Remote Sensing, Vol. 1, p. 013509.
    • (2007) Journal of Applied Remote Sensing , vol.1 , pp. 13509
    • Chen, G.Y.1    Qian, S.E.2
  • 6
    • 0030617350 scopus 로고    scopus 로고
    • Mapping the distribution of mine tailings in the Coeur d’Alene valley through the use of a constrained energy minimization technique
    • Farrand, W.H., and Harsanyi, J.C. 1997. Mapping the distribution of mine tailings in the Coeur d’Alene valley through the use of a constrained energy minimization technique. Remote Sensing of Environment, Vol. 59, pp. 6476.
    • (1997) Remote Sensing of Environment , vol.59 , pp. 6476
    • Farrand, W.H.1    Harsanyi, J.C.2
  • 7
    • 18844429782 scopus 로고    scopus 로고
    • On the impact of PCA dimension reduction for hyperspectral detection of difficult targets
    • Farrell, M.D., Jr., and Mersereau, R.M. 2005. On the impact of PCA dimension reduction for hyperspectral detection of difficult targets. IEEE Geoscience and Remote Sensing Letters, Vol. 2, No. 2, pp. 192-195.
    • (2005) IEEE Geoscience and Remote Sensing Letters , vol.2 , Issue.2 , pp. 192-195
    • Farrell, M.D.1    Mersereau, R.M.2
  • 8
    • 0023854011 scopus 로고
    • A transformation for ordering multispectral data in terms of image quality with implications for noise removal
    • Green, A.A., Berman, M., Switzer, P., and Craig, M.D. 1988. A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience and Remote Sensing, Vol. 26, No. 1, pp. 65-74.
    • (1988) IEEE Transactions on Geoscience and Remote Sensing , vol.26 , Issue.1 , pp. 65-74
    • Green, A.A.1    Berman, M.2    Switzer, P.3    Craig, M.D.4
  • 9
    • 78649815530 scopus 로고    scopus 로고
    • Wavelet principal components analysis and its application to hyperspectral imagery
    • 8-11 October 2006, Atlanta, Ga. IEEE
    • Gupta, M.R., and Jacobson, N.P. 2006. Wavelet principal components analysis and its application to hyperspectral imagery. In Proceedings of IEEE International Conference on Image Processing, 8-11 October 2006, Atlanta, Ga. IEEE, pp. 1585-1588.
    • (2006) Proceedings of IEEE International Conference on Image Processing , pp. 1585-1588
    • Gupta, M.R.1    Jacobson, N.P.2
  • 10
    • 18844367208 scopus 로고    scopus 로고
    • Band selection based feature weighting for classification of hyperspectral data
    • Huang, R., and He, M. 2005. Band selection based feature weighting for classification of hyperspectral data. IEEE Geoscience and Remote Sensing Letters, Vol. 2, No. 2, pp. 156-159.
    • (2005) IEEE Geoscience and Remote Sensing Letters , vol.2 , Issue.2 , pp. 156-159
    • Huang, R.1    He, M.2
  • 13
    • 0025430387 scopus 로고
    • Enhancement of high spectral resolution remote sensing data by a noise adjusted principal component transform
    • Lee, J., Woodyatt, S., and Berman, M. 1990. Enhancement of high spectral resolution remote sensing data by a noise adjusted principal component transform. IEEE Transactions on Geoscience and Remote Sensing, Vol. 28, No. 3, pp. 295-304.
    • (1990) IEEE Transactions on Geoscience and Remote Sensing , vol.28 , Issue.3 , pp. 295-304
    • Lee, J.1    Woodyatt, S.2    Berman, M.3
  • 14
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation
    • Mallat, S.G. 1989. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 11, pp. 674-693.
    • (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.11 , pp. 674-693
    • Mallat, S.G.1
  • 16
    • 49749128335 scopus 로고    scopus 로고
    • A new nonlinear dimensionality reduction method with application to hyperspectral image analysis
    • 23-27 July 2007, Barcelona, Spain. IEEE
    • Qian, S.E., and Chen, G.Y. 2007. A new nonlinear dimensionality reduction method with application to hyperspectral image analysis. In Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 23-27 July 2007, Barcelona, Spain. IEEE, pp. 270-273.
    • (2007) Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , pp. 270-273
    • Qian, S.E.1    Chen, G.Y.2
  • 17
    • 0041303604 scopus 로고    scopus 로고
    • Research Systems Inc., Boulder, Colo
    • Research Systems Inc. 2001. ENVI user's guide. Research Systems Inc., Boulder, Colo.
    • (2001) ENVI User's Guide
  • 18
    • 33744719449 scopus 로고    scopus 로고
    • Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis
    • Wang, J., and Chang, C.I. 2006. 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) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.6 , pp. 1586-1600
    • Wang, J.1    Chang, C.I.2
  • 19
    • 0033310314 scopus 로고    scopus 로고
    • N-FINDR: An algorithm for fast autonomous spectral end-member determination in hyperspectral data
    • Winter, M.E. 1999. N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data. Proceedings of SPIE, Vol. 3753, pp. 266-275.
    • (1999) Proceedings of SPIE , vol.3753 , pp. 266-275
    • Winter, M.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.