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Volumn 39, Issue 1, 2014, Pages 181-189

Using Improved ICA Method for Hyperspectral Data Classification

Author keywords

Classification; FastICA; Hyperspectral data; Independent component analysis (ICA); Remote sensing; Support vector machine (SVM)

Indexed keywords


EID: 84892467626     PISSN: 2193567X     EISSN: 21914281     Source Type: Journal    
DOI: 10.1007/s13369-013-0831-7     Document Type: Article
Times cited : (11)

References (31)
  • 1
    • 33744719449 scopus 로고    scopus 로고
    • Independent component analysis-based dimensionality reduction with application in hyperspectral image analysis
    • Wang, J.; Chang, C.I.: Independent component analysis-based dimensionality reduction with application in hyperspectral image analysis. IEEE Trans. Geosci. Remote Sens. 44(6), 1586-1600 (2006).
    • (2006) IEEE Trans. Geosci. Remote Sens , vol.44 , Issue.6 , pp. 1586-1600
    • Wang, J.1    Chang, C.I.2
  • 2
    • 33645032095 scopus 로고    scopus 로고
    • Remote sensing classification based on independent component analysis
    • Zeng, S.G.; Wang, X.M.; Fan, R.B.; Xia, D.S.: Remote sensing classification based on independent component analysis. J. Remote Sens. 8(2), 150-157 (2004).
    • (2004) J. Remote Sens , vol.8 , Issue.2 , pp. 150-157
    • Zeng, S.G.1    Wang, X.M.2    Fan, R.B.3    Xia, D.S.4
  • 4
    • 84866556409 scopus 로고    scopus 로고
    • Hyperspectral image classification based on variational relevance vector machine
    • Zhao, C.H.; Qi, B.; Zhang, Y.: Hyperspectral image classification based on variational relevance vector machine. Acta Opt. Sin. 32(8), 256-261 (2012).
    • (2012) Acta Opt. Sin , vol.32 , Issue.8 , pp. 256-261
    • Zhao, C.H.1    Qi, B.2    Zhang, Y.3
  • 5
    • 84892461712 scopus 로고    scopus 로고
    • Classification methodology combined with texture feature for hyperspectral remote sensing image
    • Wu, H.: Classification methodology combined with texture feature for hyperspectral remote sensing image. Comput. Eng. Design 33(5), 1993-1996 (2012).
    • (2012) Comput. Eng. Design , vol.33 , Issue.5 , pp. 1993-1996
    • Wu, H.1
  • 6
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithm and application
    • Hyvärinen, A.;Oja, E.: Independent component analysis: algorithm and application. Neural Netw. 13(4-5), 411-430 (2000).
    • (2000) Neural Netw , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvärinen, A.1    Oja, E.2
  • 8
    • 0000696616 scopus 로고
    • Neural networks and related methods for classification
    • Ripley, B.D.: Neural networks and related methods for classification. J. R. Stat. Soc. 56(3), 409-456 (1994).
    • (1994) J.R. Stat. Soc , vol.56 , Issue.3 , pp. 409-456
    • Ripley, B.D.1
  • 9
    • 84892454477 scopus 로고
    • Remote sensing techniques for monitoring of pollution in coastal wasters; potential application to Saudi Arabia
    • Ishaq, A.M.: Remote sensing techniques for monitoring of pollution in coastal wasters; potential application to Saudi Arabia. Arab. J. Sci. Eng. 10(1), 15-26 (1985).
    • (1985) Arab. J. Sci. Eng , vol.10 , Issue.1 , pp. 15-26
    • Ishaq, A.M.1
  • 10
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, C.; Vapink, V.: Support-vector networks. Math. Learn. 20(3), 273-297 (1995).
    • (1995) Math. Learn , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapink, V.2
  • 11
    • 84855693486 scopus 로고    scopus 로고
    • Assessment of urban sprawl of Islamabad metropolitan area using multi-sensor and multi-temperoal satellite data
    • Butt, M.J.;Waqas, A.; Iqbal, M.F.; Muhammad, G.; Lodhi, MAK.: Assessment of urban sprawl of Islamabad metropolitan area using multi-sensor and multi-temperoal satellite data. Arab. J. Sci. Eng. 37(1), 101-114 (2012).
    • (2012) Arab. J. Sci. Eng , vol.37 , Issue.1 , pp. 101-114
    • Butt, M.J.1    Waqas, A.2    Iqbal, M.F.3    Muhammad, G.4    Lodhi, M.A.K.5
  • 13
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • Bell, A.J.; Sejnowski, T.J.:An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 7(6), 1129-1159 (1995).
    • (1995) Neural Comput , vol.7 , Issue.6 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 14
    • 79952779066 scopus 로고    scopus 로고
    • Blind separation of mechanical source signals based on the estimation of source numbers
    • Fan, T.; Li, Z.N.; Xiao, Y.X.: Blind separation of mechanical source signals based on the estimation of source numbers. J. Mech. Strength 33(1), 15-19 (2011).
    • (2011) J. Mech. Strength , vol.33 , Issue.1 , pp. 15-19
    • Fan, T.1    Li, Z.N.2    Xiao, Y.X.3
  • 16
    • 20944443225 scopus 로고    scopus 로고
    • Remote fingerprinting of crude oil using time-resolved fluorescence spectra
    • Hegazi, E.; Hamdan, A.; Mastromarino, J.: Remote fingerprinting of crude oil using time-resolved fluorescence spectra. Arab. J. Sci. Eng. 30(1B), 3-12 (2005).
    • (2005) Arab. J. Sci. Eng , vol.30 , Issue.1 B , pp. 3-12
    • Hegazi, E.1    Hamdan, A.2    Mastromarino, J.3
  • 20
    • 28744441369 scopus 로고    scopus 로고
    • The study on remote sensing data classification using Bayesian network
    • Dai, Q.;Ma, J.W.;Li, Q.Q.;Chen, X.; Feng, C.:The study on remote sensing data classification using Bayesian network. J. Electro. Info. Technol. 27(11), 1782-1785 (2005).
    • (2005) J. Electro. Info. Technol , vol.27 , Issue.11 , pp. 1782-1785
    • Dai, Q.1    Ma, J.W.2    Li, Q.Q.3    Chen, X.4    Feng, C.5
  • 21
    • 77953737304 scopus 로고    scopus 로고
    • Independent component analysis for spectral unmixing in hyperspectral remote sensing image
    • Luo, W.F.; Zhong, L.; Zhang, B.; Gao, L.R.: Independent component analysis for spectral unmixing in hyperspectral remote sensing image. Spectrosc. Spect. Anal. 30(6), 1628-1633 (2010).
    • (2010) Spectrosc. Spect. Anal , vol.30 , Issue.6 , pp. 1628-1633
    • Luo, W.F.1    Zhong, L.2    Zhang, B.3    Gao, L.R.4
  • 22
    • 67650563525 scopus 로고    scopus 로고
    • Blind separation of the mechanical fault sources based on variational baysian theory
    • Li, Z.N.; Fan, T.;Liu, L.Z.; Lu, J.F.: Blind separation of the mechanical fault sources based on variational baysian theory. J. Vib. Shock 28(6), 12-16 (2009).
    • (2009) J. Vib. Shock , vol.28 , Issue.6 , pp. 12-16
    • Li, Z.N.1    Fan, T.2    Liu, L.Z.3    Lu, J.F.4
  • 23
    • 0023469475 scopus 로고
    • Application of principal components analysis change detection
    • Fung, T.; Ledrew, E.:Application of principal components analysis change detection. Photogramm Eng. Remote Sens. 53(5), 1649-1658 (1987).
    • (1987) Photogramm Eng. Remote Sens , vol.53 , Issue.5 , pp. 1649-1658
    • Fung, T.1    Ledrew, E.2
  • 25
    • 53349084895 scopus 로고    scopus 로고
    • Fusion of hyperspectral and LIDAR remote sensing data for the classification of complex forest areas
    • Dalponte, M.; Bruzzone, L.; Gianelle, D.: Fusion of hyperspectral and LIDAR remote sensing data for the classification of complex forest areas. IEEE Trans. Geosci. Remote Sens. 46(5), 1416-1427(2008).
    • (2008) IEEE Trans. Geosci. Remote Sens , vol.46 , Issue.5 , pp. 1416-1427
    • Dalponte, M.1    Bruzzone, L.2    Gianelle, D.3
  • 26
    • 77955682511 scopus 로고    scopus 로고
    • Detection of bruise on pear by hyperspectral imaging sensor with different classification algorithms
    • Zhao, J.W.; Ouyang, Q.; Chen, Q.S.; Wang, J.H.: Detection of bruise on pear by hyperspectral imaging sensor with different classification algorithms. Sensor Lett. 8(4), 570-576 (2010).
    • (2010) Sensor Lett , vol.8 , Issue.4 , pp. 570-576
    • Zhao, J.W.1    Ouyang, Q.2    Chen, Q.S.3    Wang, J.H.4
  • 27
    • 33746476431 scopus 로고    scopus 로고
    • Multitemporal remote sensing images change detection based on ICA
    • Zhong, J.Q.; Wang, R.S.: Multitemporal remote sensing images change detection based on ICA. J. Electro. Inf. Technol. 28(6), 994-998 (2006).
    • (2006) J. Electro. Inf. Technol , vol.28 , Issue.6 , pp. 994-998
    • Zhong, J.Q.1    Wang, R.S.2
  • 28
    • 84878776905 scopus 로고    scopus 로고
    • A multispectral remote sensing data spectral unmixing algorithm based on variational Bayesian ICA
    • Li, C.F.; Yin, J.Y.: A multispectral remote sensing data spectral unmixing algorithm based on variational Bayesian ICA. J. Indian Soc. Remote Sens. 41(2), 259-268 (2013).
    • (2013) J. Indian Soc. Remote Sens , vol.41 , Issue.2 , pp. 259-268
    • Li, C.F.1    Yin, J.Y.2
  • 29
    • 31144478389 scopus 로고    scopus 로고
    • Fast iterative algorithm for implementation of pixel purity index
    • Chang, C.I.; Plaza, A.: Fast iterative algorithm for implementation of pixel purity index. IEEE Geosci. Remote Sens. Lett. 3(1), 63-67 (2006).
    • (2006) IEEE Geosci. Remote Sens. Lett , vol.3 , Issue.1 , pp. 63-67
    • Chang, C.I.1    Plaza, A.2
  • 30
    • 0033556834 scopus 로고    scopus 로고
    • Independent component analysis using an extended infomax algorithm for mixed aubguassian and supergaussian sources
    • Lee, T.W.; Girolami, M.; Sejnowski, T.J.: Independent component analysis using an extended infomax algorithm for mixed aubguassian and supergaussian sources. Neural Comput. 11(2), 417-441 (1999).
    • (1999) Neural Comput , vol.11 , Issue.2 , pp. 417-441
    • Lee, T.W.1    Girolami, M.2    Sejnowski, T.J.3
  • 31
    • 84874948060 scopus 로고    scopus 로고
    • Remote image classification based on loosemodified fast independent component analysis algorithm
    • Wang, X.M.; Zeng, S.G.; Xia, D.S.: Remote image classification based on loosemodified fast independent component analysis algorithm. Comput. Eng. Appl. 41(7), 84-86 (2005).
    • (2005) Comput. Eng. Appl , vol.41 , Issue.7 , pp. 84-86
    • Wang, X.M.1    Zeng, S.G.2    Xia, D.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.