메뉴 건너뛰기




Volumn 45, Issue 2, 2007, Pages 484-495

Extraction of spectral channels from hyperspectral images for classification purposes

Author keywords

Feature extraction; Feature reduction; Hyperspectral images; Remote sensing image classification; Spectral channels

Indexed keywords

FEATURE REDUCTION; HYPERSPECTRAL IMAGES; REMOTE SENSING IMAGE CLASSIFICATION; SPECTRAL CHANNELS;

EID: 33846636871     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2006.886177     Document Type: Article
Times cited : (135)

References (61)
  • 1
    • 4143064738 scopus 로고    scopus 로고
    • Methodology for hyperspectral band selection
    • Jul
    • P. Bajcsy and P. Groves, "Methodology for hyperspectral band selection," Photogramm. Eng. Remote Sens., vol. 70, no. 7, pp. 793-802, Jul. 2004.
    • (2004) Photogramm. Eng. Remote Sens , vol.70 , Issue.7 , pp. 793-802
    • Bajcsy, P.1    Groves, P.2
  • 2
    • 0034296402 scopus 로고    scopus 로고
    • Generalized discriminant analysis using a kernel approach
    • Oct
    • G. Baudat and F. Anouar, "Generalized discriminant analysis using a kernel approach," Neural Comput., vol. 12, no. 10, pp. 2385-2404, Oct. 2000.
    • (2000) Neural Comput , vol.12 , Issue.10 , pp. 2385-2404
    • Baudat, G.1    Anouar, F.2
  • 3
    • 14644412366 scopus 로고    scopus 로고
    • Classification of hyperspectral data from urban areas based on extended morphological profiles
    • Mar
    • J. A. Benediktsson, J. A. Palmason, and J. R. Sveinsson, "Classification of hyperspectral data from urban areas based on extended morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 480-491, Mar. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens , vol.43 , Issue.3 , pp. 480-491
    • Benediktsson, J.A.1    Palmason, J.A.2    Sveinsson, J.R.3
  • 5
    • 0042887573 scopus 로고    scopus 로고
    • Nonparametric discriminant analysis and nearest neighbor classification
    • Nov
    • M. Bressan and J. Vitri, "Nonparametric discriminant analysis and nearest neighbor classification," Pattern Recognit. Lett., vol. 24, no. 15, pp. 2743-2749, Nov. 2003.
    • (2003) Pattern Recognit. Lett , vol.24 , Issue.15 , pp. 2743-2749
    • Bressan, M.1    Vitri, J.2
  • 6
    • 0036821665 scopus 로고    scopus 로고
    • Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction
    • Oct
    • L. M. Bruce, C. H. Koger, and J. Li, "Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 10, pp. 2331-2338, Oct. 2002.
    • (2002) IEEE Trans. Geosci. Remote Sens , vol.40 , Issue.10 , pp. 2331-2338
    • Bruce, L.M.1    Koger, C.H.2    Li, J.3
  • 7
    • 0029407869 scopus 로고
    • An extension to multiclass cases of the Jeffreys-Matusita distance
    • L. Bruzzone, F. Roli, and S. B. Serpico, "An extension to multiclass cases of the Jeffreys-Matusita distance," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 6, pp. 1318-1321, 1995.
    • (1995) IEEE Trans. Pattern Anal. Mach. Intell , vol.33 , Issue.6 , pp. 1318-1321
    • Bruzzone, L.1    Roli, F.2    Serpico, S.B.3
  • 8
    • 0034651854 scopus 로고    scopus 로고
    • A technique for feature selection in multi-class cases
    • L. Bruzzone and S. Serpico, "A technique for feature selection in multi-class cases," Int. J. Remote Sens., vol. 21, no. 3, pp. 549-563, 2000.
    • (2000) Int. J. Remote Sens , vol.21 , Issue.3 , pp. 549-563
    • Bruzzone, L.1    Serpico, S.2
  • 11
    • 0034818997 scopus 로고    scopus 로고
    • A linear constrained distance-based discriminant analysis for hyperspectral image classification
    • Feb
    • Q. Du and C.-I Chang, "A linear constrained distance-based discriminant analysis for hyperspectral image classification," Pattern Recognit., vol. 34, no. 2, pp. 361-373, Feb. 2001.
    • (2001) Pattern Recognit , vol.34 , Issue.2 , pp. 361-373
    • Du, Q.1    Chang, C.-I.2
  • 14
    • 0023854011 scopus 로고
    • A transformation for ordering multispectral data in terms of image quality with implications for noise removal
    • Jan
    • A. A. Green, M. Berman, P. Switzer, and M. D. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Trans. Geosci. Remote Sens., vol. 26, no. 1, pp. 65-74, Jan. 1988.
    • (1988) IEEE Trans. Geosci. Remote Sens , vol.26 , Issue.1 , pp. 65-74
    • Green, A.A.1    Berman, M.2    Switzer, P.3    Craig, M.D.4
  • 15
    • 21844486429 scopus 로고
    • Penalized discriminant analysis
    • T. Hastie, A. Buja, and R. Tibshirani, "Penalized discriminant analysis," Ann. Stat., vol. 23, no. 1, pp. 73-102, 1995.
    • (1995) Ann. Stat , vol.23 , Issue.1 , pp. 73-102
    • Hastie, T.1    Buja, A.2    Tibshirani, R.3
  • 16
    • 18844367208 scopus 로고    scopus 로고
    • Band selection based on feature weighting for classification of hyperspectral data
    • Apr
    • R. Huang and M. He, "Band selection based on feature weighting for classification of hyperspectral data," IEEE Geosci. Remote Sens. Lett., vol. 2, no. 2, pp. 156-159, Apr. 2005.
    • (2005) IEEE Geosci. Remote Sens. Lett , vol.2 , Issue.2 , pp. 156-159
    • Huang, R.1    He, M.2
  • 17
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
    • Jan
    • G. F. Hughes, "On the mean accuracy of statistical pattern recognizers," IEEE Trans. Inf. Theory, vol. 14, no. 1, pp. 55-63, Jan. 1968.
    • (1968) IEEE Trans. Inf. Theory , vol.14 , Issue.1 , pp. 55-63
    • Hughes, G.F.1
  • 18
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • May/Jun
    • A. Hyvarinen and E. Oja, "Independent component analysis: Algorithms and applications," Neural Netw., vol. 13, no. 4/5, pp. 411-430, May/Jun. 2000.
    • (2000) Neural Netw , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvarinen, A.1    Oja, E.2
  • 19
    • 0021487289 scopus 로고
    • Optimum feature selection by zero-one integer programming
    • M. Ichino and J. Sklansky, "Optimum feature selection by zero-one integer programming," IEEE Trans. Syst., Man, Cybern., vol. SMC-14, no. 5, pp. 737-746, 1984.
    • (1984) IEEE Trans. Syst., Man, Cybern , vol.SMC-14 , Issue.5 , pp. 737-746
    • Ichino, M.1    Sklansky, J.2
  • 20
    • 0031078007 scopus 로고    scopus 로고
    • Feature selection: Evaluation, application, and small sample performance
    • Feb
    • A. Jain and D. Zongker, "Feature selection: Evaluation, application, and small sample performance," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 2, pp. 153-189, Feb. 1997.
    • (1997) IEEE Trans. Pattern Anal. Mach. Intell , vol.19 , Issue.2 , pp. 153-189
    • Jain, A.1    Zongker, D.2
  • 21
    • 0032737410 scopus 로고    scopus 로고
    • Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification
    • Jan
    • X. Jia and J. Richards, "Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 1, pp. 538-542, Jan. 1999.
    • (1999) IEEE Trans. Geosci. Remote Sens , vol.37 , Issue.1 , pp. 538-542
    • Jia, X.1    Richards, J.2
  • 22
    • 0031997059 scopus 로고    scopus 로고
    • Supervised classification in high-dimensional space: Geometrical, statistical, and asymptotically properties of multivariate data
    • Feb
    • L. O. Jimenez and D. A. Landgrebe, "Supervised classification in high-dimensional space: Geometrical, statistical, and asymptotically properties of multivariate data," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 28, no. 1, pp. 39-54, Feb. 1998.
    • (1998) IEEE Trans. Syst., Man, Cybern. C, Appl. Rev , vol.28 , Issue.1 , pp. 39-54
    • Jimenez, L.O.1    Landgrebe, D.A.2
  • 23
    • 0033224771 scopus 로고    scopus 로고
    • Hyperspectral data analysis and feature reduction via projection pursuit
    • Nov
    • _, "Hyperspectral data analysis and feature reduction via projection pursuit," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 6, pp. 2653-2667, Nov. 1999.
    • (1999) IEEE Trans. Geosci. Remote Sens , vol.37 , Issue.6 , pp. 2653-2667
    • Jimenez, L.O.1    Landgrebe, D.A.2
  • 24
    • 3843151477 scopus 로고    scopus 로고
    • Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries
    • Jul
    • N. Keshava, "Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 7, pp. 1552-1565, Jul. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens , vol.42 , Issue.7 , pp. 1552-1565
    • Keshava, N.1
  • 26
    • 0242712296 scopus 로고    scopus 로고
    • Adaptive feature selection for hyperspectral data analysis using a binary hierarchical classifier and tabu search
    • Toulouse, France, Jul. 21-25
    • 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 Proc. IEEE Int. Geosci. and Remote Sens. Symp., Toulouse, France, Jul. 21-25, 2003, vol. 1, pp. 297-299.
    • (2003) Proc. IEEE Int. Geosci. and Remote Sens. Symp , vol.1 , pp. 297-299
    • Korycinski, D.1    Crawford, M.M.2    Barnes, J.W.3    Ghosh, J.4
  • 27
    • 0033640901 scopus 로고    scopus 로고
    • Comparison of algorithms that select features for pattern classifiers
    • Jan
    • M. Kudo and J. Sklansky, "Comparison of algorithms that select features for pattern classifiers," Pattern Recognit., vol. 33, no. 1, pp. 25-41, Jan. 2000.
    • (2000) Pattern Recognit , vol.33 , Issue.1 , pp. 25-41
    • Kudo, M.1    Sklansky, J.2
  • 28
    • 0035391738 scopus 로고    scopus 로고
    • Best-bases feature extraction algorithms for classification of hyperspectral data
    • Jul
    • S. Kumar, J. Ghosh, and M. M. Crawford, "Best-bases feature extraction algorithms for classification of hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1368-1379, Jul. 2001.
    • (2001) IEEE Trans. Geosci. Remote Sens , vol.39 , Issue.7 , pp. 1368-1379
    • Kumar, S.1    Ghosh, J.2    Crawford, M.M.3
  • 29
    • 0036544159 scopus 로고    scopus 로고
    • A covariance estimator for small sample size classification problems and its application to feature extraction
    • Apr
    • B.-C. Kuo and D. A. Landgrebe, "A covariance estimator for small sample size classification problems and its application to feature extraction," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 4, pp. 814-819, Apr. 2002.
    • (2002) IEEE Trans. Geosci. Remote Sens , vol.40 , Issue.4 , pp. 814-819
    • Kuo, B.-C.1    Landgrebe, D.A.2
  • 30
    • 2642530204 scopus 로고    scopus 로고
    • Nonparametric weighted feature extraction for classification
    • May
    • _, "Nonparametric weighted feature extraction for classification," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 5, pp. 1096-1105, May 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens , vol.42 , Issue.5 , pp. 1096-1105
    • Kuo, B.-C.1    Landgrebe, D.A.2
  • 32
    • 0027561378 scopus 로고
    • Decision boundary feature extraction for nonparametric classifiers
    • Mar./Apr
    • C. Lee and D. A. Landgrebe, "Decision boundary feature extraction for nonparametric classifiers," IEEE Trans. Syst., Man, Cybern., vol. 23, no. 2, pp. 433-444, Mar./Apr. 1993.
    • (1993) IEEE Trans. Syst., Man, Cybern , vol.23 , Issue.2 , pp. 433-444
    • Lee, C.1    Landgrebe, D.A.2
  • 34
    • 0035393361 scopus 로고    scopus 로고
    • Multiclass linear dimension reduction by weighted pairwise Fisher criteria
    • Jul
    • M. Loog, R. P. W. Duin, and R. Haeb-Umbach, "Multiclass linear dimension reduction by weighted pairwise Fisher criteria," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 7, pp. 762-766, Jul. 2001.
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell , vol.23 , Issue.7 , pp. 762-766
    • Loog, M.1    Duin, R.P.W.2    Haeb-Umbach, R.3
  • 38
    • 0036522403 scopus 로고    scopus 로고
    • Unsupervised feature selection using feature similarity
    • Mar
    • P. Mitra, C. A. Murthy, and S. K. Pal, "Unsupervised feature selection using feature similarity," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 3, pp. 301-312, Mar. 2002.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell , vol.24 , Issue.3 , pp. 301-312
    • Mitra, P.1    Murthy, C.A.2    Pal, S.K.3
  • 41
    • 0017535866 scopus 로고
    • A branch and bound algorithm for feature subset selection
    • Sep
    • P. M. Narendra and K. Fukunaga, "A branch and bound algorithm for feature subset selection," IEEE Trans. Comput., vol. C-26, no. 9, pp. 917-922, Sep. 1977.
    • (1977) IEEE Trans. Comput , vol.C-26 , Issue.9 , pp. 917-922
    • Narendra, P.M.1    Fukunaga, K.2
  • 42
    • 14644435059 scopus 로고    scopus 로고
    • Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations
    • Mar
    • A. Plaza, P. Martinez, J. Plaza, and R. Perez, "Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 466-479, Mar. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens , vol.43 , Issue.3 , pp. 466-479
    • Plaza, A.1    Martinez, P.2    Plaza, J.3    Perez, R.4
  • 43
    • 0036186686 scopus 로고    scopus 로고
    • Feature selection toolbox software package
    • Feb
    • P. Pudil, "Feature selection toolbox software package," Pattern Recognit. Lett., vol. 23, no. 4, pp. 487-492, Feb. 2002.
    • (2002) Pattern Recognit. Lett , vol.23 , Issue.4 , pp. 487-492
    • Pudil, P.1
  • 44
    • 0037965523 scopus 로고
    • Feature selection based on the approximation of class densities by finite mixtures of special type
    • Sep
    • P. Pudil, J. Novovicova, N. Choakjarernwanit, and J. Kittler, "Feature selection based on the approximation of class densities by finite mixtures of special type," Pattern Recognit., vol. 28, no. 9, pp. 1389-1398, Sep. 1994.
    • (1994) Pattern Recognit , vol.28 , Issue.9 , pp. 1389-1398
    • Pudil, P.1    Novovicova, J.2    Choakjarernwanit, N.3    Kittler, J.4
  • 45
    • 0028547556 scopus 로고
    • Floating search methods in feature selection
    • P. Pudil, J. Novovicova, and J. Kittler, "Floating search methods in feature selection," Pattern Recognit. Lett., vol. 15, no. 11, pp. 1119-1125, 1994.
    • (1994) Pattern Recognit. Lett , vol.15 , Issue.11 , pp. 1119-1125
    • Pudil, P.1    Novovicova, J.2    Kittler, J.3
  • 47
    • 0035391615 scopus 로고
    • A new search algorithm for feature selection in hyperspectral remote sensing images
    • Jul
    • S. B. Serpico and L. Bruzzone, "A new search algorithm for feature selection in hyperspectral remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1360-1367, Jul. 1994.
    • (1994) IEEE Trans. Geosci. Remote Sens , vol.39 , Issue.7 , pp. 1360-1367
    • Serpico, S.B.1    Bruzzone, L.2
  • 49
    • 85032751238 scopus 로고    scopus 로고
    • Signal processing for hyperspectral image explotation
    • Jan
    • G. Shaw and D. Manolakis, "Signal processing for hyperspectral image explotation," IEEE Signal Process. Mag., vol. 19, no. 1, p. 12, Jan. 2002.
    • (2002) IEEE Signal Process. Mag , vol.19 , Issue.1 , pp. 12
    • Shaw, G.1    Manolakis, D.2
  • 51
    • 0024895461 scopus 로고
    • A note on genetic algorithms for large-scale feature selection
    • Nov
    • _, "A note on genetic algorithms for large-scale feature selection," Pattern Recognit. Lett., vol. 10, no. 5, pp. 335-347, Nov. 1989.
    • (1989) Pattern Recognit. Lett , vol.10 , Issue.5 , pp. 335-347
    • Siedlecki, W.1    Sklansky, J.2
  • 52
    • 18944403349 scopus 로고    scopus 로고
    • Hyperconvex semimetric spaces
    • M. B. Smyth and R. Tsaur, "Hyperconvex semimetric spaces," Topol. Proc., vol. 26, no. 2, pp. 791-810, 2002.
    • (2002) Topol. Proc , vol.26 , Issue.2 , pp. 791-810
    • Smyth, M.B.1    Tsaur, R.2
  • 53
    • 0033220764 scopus 로고    scopus 로고
    • Adaptive floating search methods in feature selection
    • Nov
    • P. Somol, P. Pudil, J. Novovicova, and P. Paclik, "Adaptive floating search methods in feature selection," Pattern Recognit. Lett,, vol. 20, no. 11-13, pp. 1157-1163, Nov. 1999.
    • (1999) Pattern Recognit. Lett , vol.20 , Issue.11-13 , pp. 1157-1163
    • Somol, P.1    Pudil, P.2    Novovicova, J.3    Paclik, P.4
  • 55
    • 0036721934 scopus 로고    scopus 로고
    • Feature selection with neural networks
    • Sep
    • A. Verikas and M. Bacauskiene, "Feature selection with neural networks," Pattern Recognit. Lett., vol. 23, no. 11, pp. 1323-1335, Sep. 2002.
    • (2002) Pattern Recognit. Lett , vol.23 , Issue.11 , pp. 1323-1335
    • Verikas, A.1    Bacauskiene, M.2
  • 56
    • 0033586934 scopus 로고    scopus 로고
    • An evaluation of spatial autocorrelation feature selection
    • May
    • T. A. Warner, K. Steinmaus, and H. Foote, "An evaluation of spatial autocorrelation feature selection," Int. J. Remote Sens., vol. 20, no. 8, pp. 1601-1616, May 1999.
    • (1999) Int. J. Remote Sens , vol.20 , Issue.8 , pp. 1601-1616
    • Warner, T.A.1    Steinmaus, K.2    Foote, H.3
  • 57
    • 0019181834 scopus 로고
    • Analytical design of multispectral sensors
    • Mar
    • J. Wiersma and D. A. Landgrebe, "Analytical design of multispectral sensors," IEEE Trans. Geosci. Remote Sens., vol. GRS-18, no. 2, pp. 180-189, Mar. 1980.
    • (1980) IEEE Trans. Geosci. Remote Sens , vol.GRS-18 , Issue.2 , pp. 180-189
    • Wiersma, J.1    Landgrebe, D.A.2
  • 58
    • 0041380888 scopus 로고    scopus 로고
    • A genetic-algorithm-based selective principal component analysis (GA-SPCA) method for high-dimensional data feature extraction
    • Jun
    • H. Yao and L. Tian, "A genetic-algorithm-based selective principal component analysis (GA-SPCA) method for high-dimensional data feature extraction," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 6, pp. 1469-1478, Jun. 2003.
    • (2003) IEEE Trans. Geosci. Remote Sens , vol.41 , Issue.6 , pp. 1469-1478
    • Yao, H.1    Tian, L.2
  • 59
    • 0036132565 scopus 로고    scopus 로고
    • Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery
    • Jan
    • B. Yu, S. D. Backer, and P. Scheunders, "Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery," Pattern Recognit. Lett., vol. 23, no. 1-3, pp. 183-190, Jan. 2002.
    • (2002) Pattern Recognit. Lett , vol.23 , Issue.1-3 , pp. 183-190
    • Yu, B.1    Backer, S.D.2    Scheunders, P.3
  • 60
    • 0033333841 scopus 로고    scopus 로고
    • Penalized discriminant analysis of in situ hyperspectral data for conifer species recognition
    • Sep
    • B. Yu, I. M. Ostland, P. Gong, and R. Pu, "Penalized discriminant analysis of in situ hyperspectral data for conifer species recognition," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 5, pp. 2569-2577, Sep. 1999.
    • (1999) IEEE Trans. Geosci. Remote Sens , vol.37 , Issue.5 , pp. 2569-2577
    • Yu, B.1    Ostland, I.M.2    Gong, P.3    Pu, R.4
  • 61
    • 0035294798 scopus 로고    scopus 로고
    • Feature selection using tabu search method
    • Mar
    • H. Zhang and G. Sun, "Feature selection using tabu search method," Pattern Recognit., vol. 35, no. 3, pp. 701-711, Mar. 2002.
    • (2002) Pattern Recognit , vol.35 , Issue.3 , pp. 701-711
    • Zhang, H.1    Sun, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.