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Volumn , Issue , 2006, Pages 245-274

Feature Reduction for Classification Purpose

Author keywords

Feature reduction for classification purpose; Innovative feature transformation methodology and numerical discrete search strategies; Proposed band extraction method

Indexed keywords


EID: 84885018324     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470124628.ch10     Document Type: Chapter
Times cited : (3)

References (57)
  • 1
    • 85158970719 scopus 로고    scopus 로고
    • Remote Sensing Digital Image Analysis
    • 3rd edition, Springer-Verlag, Berlin
    • J. A. Richards and X. Jia, Remote Sensing Digital Image Analysis, 3rd edition, Springer-Verlag, Berlin, 1999.
    • (1999)
    • Richards, J.A.1    Jia, X.2
  • 2
    • 0141934861 scopus 로고    scopus 로고
    • Signal Theory Methods in Multispectral Remote Sensing
    • Wiley-Interscience, New York
    • D. A. Landgrebe, Signal Theory Methods in Multispectral Remote Sensing, Wiley-Interscience, New York, 2003.
    • (2003)
    • Landgrebe, D.A.1
  • 3
    • 0032097263 scopus 로고
    • Introduction to Statistical Pattern Recognition
    • 2nd edition, Academic Press, New York
    • K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd edition, Academic Press, New York, 1990.
    • (1990)
    • Fukunaga, K.1
  • 4
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
    • G. F. Hughes, On the mean accuracy of statistical pattern recognizers, IEEE Transactions on Information Theory, vol. 14, no. 1, pp. 55-63, 1968.
    • (1968) IEEE Transactions on Information Theory , vol.14 , Issue.1 , pp. 55-63
    • Hughes, G.F.1
  • 5
    • 0031997059 scopus 로고    scopus 로고
    • Supervised classification in high-dimensional space:Geometrical, statistical, and asymptotical properties of multivariate data
    • L. O. Jimenez and D. A. Landgrebe, Supervised classification in high-dimensional space:Geometrical, statistical, and asymptotical properties of multivariate data, IEEE Transactions on Systems, Man, and Cybernetics-Part C, vol. 28, no. 1, 39-54, 1998.
    • (1998) IEEE Transactions on Systems, Man, and Cybernetics-Part C , vol.28 , Issue.1 , pp. 39-54
    • Jimenez, L.O.1    Landgrebe, D.A.2
  • 6
    • 85032751238 scopus 로고    scopus 로고
    • Signal Processing for hyperspectral image explotation
    • G. Shaw and D. Manolakis, Signal Processing for hyperspectral image explotation, IEEE Signal Processing Magazine, vol. 19, no. 1, p. 12, 2002.
    • (2002) IEEE Signal Processing Magazine , vol.19 , Issue.1 , pp. 12
    • Shaw, G.1    Manolakis, D.2
  • 8
    • 27744582881 scopus 로고    scopus 로고
    • A band selection technique for spectral classification
    • IEEE Geoscience and Remote Sensing Letters, in print, available at
    • S. De Backer, P. Kempeneers,W. Debruyn,and P. Scheunders, A band selection technique for spectral classification, IEEE Geoscience and Remote Sensing Letters, in print, available at http://ieeexplore.ieee.org/, 2005.
    • (2005)
    • De Backer, S.1    Kempeneers, P.2    Debruyn, W.3    Scheunders, P.4
  • 10
    • 0003517464 scopus 로고
    • Digital Image Processing
    • 2nd edition, Wiley Interscience, New York
    • W. K. Pratt, Digital Image Processing, 2nd edition, Wiley Interscience, New York, 1991.
    • (1991)
    • Pratt, W.K.1
  • 12
    • 0033640901 scopus 로고    scopus 로고
    • Comparison of algorithms that select features for pattern classifiers
    • M. Kudo and J. Sklansky, Comparison of algorithms that select features for pattern classifiers, Pattern Recognition, vol. 33, pp. 25-41, 2000.
    • (2000) Pattern Recognition , vol.33 , pp. 25-41
    • Kudo, M.1    Sklansky, J.2
  • 13
    • 0017535866 scopus 로고
    • A branch and bound algorithm for feature subset selection
    • P. M. Narendra and K. Fukunaga, A branch and bound algorithm for feature subset selection, IEEE Transactions on Computers, vol. 26, pp. 917-922, 1977.
    • (1977) IEEE Transactions on Computers , vol.26 , pp. 917-922
    • Narendra, P.M.1    Fukunaga, K.2
  • 14
    • 0036186686 scopus 로고    scopus 로고
    • Feature selection toolbox software package
    • P. Pudil, Feature selection toolbox software package, Pattern Recognition Letters, vol. 23, pp. 487-492, 2002.
    • (2002) Pattern Recognition Letters , vol.23 , pp. 487-492
    • Pudil, P.1
  • 20
  • 21
    • 0024895461 scopus 로고
    • A note on genetic algorithms for large-scale feature selection
    • W. Siedlecki and J. Sklansky, A note on genetic algorithms for large-scale feature selection, Pattern Recognition Letters, vol. 10, pp. 335-347, 1989.
    • (1989) Pattern Recognition Letters , vol.10 , pp. 335-347
    • Siedlecki, W.1    Sklansky, J.2
  • 22
    • 0036132565 scopus 로고    scopus 로고
    • Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral sattelite imagery
    • B. Yu, S. De Backer,and P. Scheunders, Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral sattelite imagery, Pattern Recognition Letters, vol. 23, pp. 183-190, 2002.
    • (2002) Pattern Recognition Letters , vol.23 , pp. 183-190
    • Yu, B.1    De Backer, S.2    Scheunders, P.3
  • 23
    • 0041380888 scopus 로고    scopus 로고
    • A genetic-algorithm-based selective principal component analysis (ga-spca) method for high-dimensional data feature extraction
    • H. Yao and L. Tian, A genetic-algorithm-based selective principal component analysis (ga-spca) method for high-dimensional data feature extraction. IEEE Transactions on Geoscience and Remote Sensing, vol. 41, no. 6, pp. 1469-1478, 2003.
    • (2003) IEEE Transactions on Geoscience and Remote Sensing , vol.41 , Issue.6 , pp. 1469-1478
    • Yao, H.1    Tian, L.2
  • 25
    • 0037965523 scopus 로고
    • Feature selection based on the approximation of class densities by finite mixtures of special type
    • P. Pudil, J. Novovicova, N. Choakjarenwanit,and J. Kittler, Feature selection based on the approximation of class densities by finite mixtures of special type, Pattern Recognition, vol. 28, no. 9, pp. 1389-1398, 1994.
    • (1994) Pattern Recognition , vol.28 , Issue.9 , pp. 1389-1398
    • Pudil, P.1    Novovicova, J.2    Choakjarenwanit, N.3    Kittler, J.4
  • 26
    • 0035294798 scopus 로고    scopus 로고
    • Feature selection using tabu search method
    • H. Zhang and G. Sun, Feature selection using tabu search method, Pattern Recognition, vol. 35, pp. 701-711, 2002.
    • (2002) Pattern Recognition , vol.35 , pp. 701-711
    • Zhang, H.1    Sun, G.2
  • 27
    • 3843151477 scopus 로고    scopus 로고
    • Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries
    • N. Keshava, Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries, IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no. 7, pp. 1552-1565, 2004.
    • (2004) IEEE Transactions on Geoscience and Remote Sensing , vol.42 , Issue.7 , pp. 1552-1565
    • Keshava, N.1
  • 28
    • 18844367208 scopus 로고    scopus 로고
    • Band selection based on feature weighting for classification of hyperspectral data
    • R. Huang and M. He, Band selection based on feature weighting for classification of hyperspectral data. IEEE Geoscience and Remote Sensing Letters, vol. 2, no. 2, pp. 156-159, 2005.
    • (2005) IEEE Geoscience and Remote Sensing Letters , vol.2 , Issue.2 , pp. 156-159
    • Huang, R.1    He, M.2
  • 30
    • 0036544159 scopus 로고    scopus 로고
    • A covariance estimator for small sample size classification problems and its application to feature extraction
    • B.-C. Kuo and D. A. Landgrebe, A covariance estimator for small sample size classification problems and its application to feature extraction, IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no. 4, pp. 814-819, 2002.
    • (2002) IEEE Transactions on Geoscience and Remote Sensing , vol.40 , Issue.4 , pp. 814-819
    • Kuo, B.-C.1    Landgrebe, D.A.2
  • 31
    • 0034818997 scopus 로고    scopus 로고
    • A linear constrained distance-based discriminant analysis for hyperspectral image classification
    • Q. Du and C.-I Chang, A linear constrained distance-based discriminant analysis for hyperspectral image classification, Pattern Recognition, vol. 34, pp. 361-373, 2001.
    • (2001) Pattern Recognition , vol.34 , pp. 361-373
    • Du, Q.1    Chang, C.-I.2
  • 32
    • 0042887573 scopus 로고    scopus 로고
    • Nonparametric discriminant analysis and nearest neighbor classification
    • M. Bressan and J. Vitri, Nonparametric discriminant analysis and nearest neighbor classification, Pattern Recognition Letters, vol. 24, pp. 2743-2749, 2003.
    • (2003) Pattern Recognition Letters , vol.24 , pp. 2743-2749
    • Bressan, M.1    Vitri, J.2
  • 34
    • 21844486429 scopus 로고
    • Penalized discriminant analysis
    • T. Hastie, A. Buja,and R. Tibshirani, Penalized discriminant analysis. Annals of Statistics, vol. 23, no. 1, pp. 73-102, 1995.
    • (1995) Annals of Statistics , vol.23 , Issue.1 , pp. 73-102
    • Hastie, T.1    Buja, A.2    Tibshirani, R.3
  • 35
    • 0033333841 scopus 로고    scopus 로고
    • Penalized discriminant analysis of in situ hyperspectral data for conifer species recognition
    • B. Yu, I. M. Ostland, P. Gong,and R. Pu, Penalized discriminant analysis of in situ hyperspectral data for conifer species recognition, IEEE Transactions on Geoscience and Remote Sensing, vol. 37, no. 5, pp. 2569-2577, 1999.
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.5 , pp. 2569-2577
    • Yu, B.1    Ostland, I.M.2    Gong, P.3    Pu, R.4
  • 37
    • 0034296402 scopus 로고    scopus 로고
    • Generalized discriminant analysis using a kernel approach
    • G. Baudat and F. Anouar, Generalized discriminant analysis using a kernel approach, Neural Computation, vol. 12, pp. 2385-2404, 2000.
    • (2000) Neural Computation , vol.12 , pp. 2385-2404
    • Baudat, G.1    Anouar, F.2
  • 38
    • 0006609612 scopus 로고    scopus 로고
    • Invariant feature extraction and classification in kernel spaces, in Advances in Neural Information Processing Systems
    • MIT Press, Cambridge, MA
    • S. Mika, G. Ratsch, B. Scholkopf, A. Smola, J.Weston,and K.-R. Muller, Invariant feature extraction and classification in kernel spaces, in Advances in Neural Information Processing Systems, vol. 12, MIT Press, Cambridge, MA, 1999.
    • (1999) , vol.12
    • Mika, S.1    Ratsch, G.2    Scholkopf, B.3    Smola, A.4    Weston, J.5    Muller, K.-R.6
  • 40
    • 0033224771 scopus 로고    scopus 로고
    • Hyperspectral data analysis and feature reduction via projection pursuit
    • L. O. Jimenez and D. A. Landgrebe, Hyperspectral data analysis and feature reduction via projection pursuit, IEEE Transactions on Geoscience and Remote Sensing, vol. 37, no. 6, pp. 2653-2667, 1999.
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.6 , pp. 2653-2667
    • Jimenez, L.O.1    Landgrebe, D.A.2
  • 41
    • 0038627541 scopus 로고    scopus 로고
    • A comparison of feature reduction techniques for classification of hyperspectral remote-sensing data
    • in Proceedings of the SPIE Conference on Image and Signal Processing for Remote Sensing VIII, Crete, Greece, 22-27 September
    • S. B. Serpico, M. D'Incá, F. Melgani,and G. Moser, A comparison of feature reduction techniques for classification of hyperspectral remote-sensing data, in Proceedings of the SPIE Conference on Image and Signal Processing for Remote Sensing VIII, Crete, Greece, 22-27 September, pp. 347-358, 2002.
    • (2002) , pp. 347-358
    • Serpico, S.B.1    D'Incá, M.2    Melgani, F.3    Moser, G.4
  • 42
    • 0032737410 scopus 로고    scopus 로고
    • Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification
    • X. Jia and J. A. Richards, Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 37, no. 1, pp. 538-542, 1999.
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.1 , pp. 538-542
    • Jia, X.1    Richards, J.A.2
  • 43
    • 0035391738 scopus 로고    scopus 로고
    • Best-bases feature extraction algorithms for classification of hyperspectral data
    • S. Kumar, J. Ghosh,and M. M. Crawford, Best-bases feature extraction algorithms for classification of hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing, vol. 39, no.7, pp. 1368-1379, 2001.
    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , Issue.7 , pp. 1368-1379
    • Kumar, S.1    Ghosh, J.2    Crawford, M.M.3
  • 45
    • 0242712296 scopus 로고    scopus 로고
    • Adaptive feature selection for hyperspectral data analysis using a binary hierarchical classifier and tabu search
    • in Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, 21-25 July
    • D. Korycinski, M. M. Crawford, J. W. Barnes,and J. Ghosh, Adaptive feature selection for hyperspectral data analysis using a binary hierarchical classifier and tabu search, in Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, 21-25 July, Vol. 1, pp. 297-299, 2003.
    • (2003) , vol.1 , pp. 297-299
    • Korycinski, D.1    Crawford, M.M.2    Barnes, J.W.3    Ghosh, J.4
  • 46
    • 1942471055 scopus 로고    scopus 로고
    • Adaptive feature selection for hyperspectral data analysis
    • in Proceedings of the SPIE Conference on Image and Signal Processing for Remote Sensing IX, Barcelona, Spain
    • D. Korycinski, M. M. Crawford,and J. W. Barnes, Adaptive feature selection for hyperspectral data analysis, in Proceedings of the SPIE Conference on Image and Signal Processing for Remote Sensing IX, Barcelona, Spain, pp. 213-225, 2003.
    • (2003) , pp. 213-225
    • Korycinski, D.1    Crawford, M.M.2    Barnes, J.W.3
  • 47
    • 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, 2002.
    • (2002) IEEE Transactions on Geoscience and Remote Sensing , vol.40 , Issue.10
    • Bruce, L.M.1    Koger, C.H.2    Li, J.3
  • 48
    • 0003456805 scopus 로고    scopus 로고
    • A Wavelet Tour of Signal Processing
    • Academic Press, New York
    • S. Mallat, A Wavelet Tour of Signal Processing, Academic Press, New York, 1999.
    • (1999)
    • Mallat, S.1
  • 49
  • 50
    • 14644435059 scopus 로고    scopus 로고
    • Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations
    • A. Plaza, P. Martínez, 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    Martínez, P.2    Plaza, J.3    Perez, R.4
  • 51
    • 33747267032 scopus 로고
    • Detection
    • Estimation and Modulation Theory, Vol. 1, John Wiley & Sons, New York
    • H. L. Van Trees, Detection, Estimation and Modulation Theory, Vol. 1, John Wiley & Sons, New York, 1968.
    • (1968)
    • Van Trees, H.L.1
  • 52
    • 0003922190 scopus 로고    scopus 로고
    • Pattern Classification
    • 2nd edition, JohnWiley & Sons, New York
    • R. O. Duda, P. E. Hart,and D. G. Stork, Pattern Classification, 2nd edition, JohnWiley & Sons, New York, 2001.
    • (2001)
    • Duda, R.O.1    Hart, P.E.2    Stork, D.G.3
  • 54
    • 0003983872 scopus 로고
    • Topological Spaces
    • John Wiley & Sons, New York
    • E. Cech, Topological Spaces, John Wiley & Sons, New York, 1966.
    • (1966)
    • Cech, E.1
  • 55
    • 18944403349 scopus 로고    scopus 로고
    • Hyperconvex semi-metric spaces
    • M. B. Smyth and R. Tsaur, Hyperconvex semi-metric spaces, Topology Proceedings, 26, pp. 791-810, 2002.
    • (2002) Topology Proceedings , vol.26 , pp. 791-810
    • Smyth, M.B.1    Tsaur, R.2
  • 56
    • 0004273929 scopus 로고    scopus 로고
    • Communication Systems
    • McGraw-Hill, New York
    • A. B. Carlson, P. B. Crilly,and J. C. Rutledge, Communication Systems, McGraw-Hill, New York, 2001.
    • (2001)
    • Carlson, A.B.1    Crilly, P.B.2    Rutledge, J.C.3
  • 57
    • 0004280469 scopus 로고
    • Information Theory
    • Dover, New York
    • R. B. Ash, Information Theory, Dover, New York, 1965.
    • (1965)
    • Ash, R.B.1


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