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Volumn 12, Issue 1, 2015, Pages 185-189

Unsupervised band selection by integrating the overall accuracy and redundancy

Author keywords

Hyperspectral image (HSI) classification; optimization; overall accuracy prediction; trade off parameter; unsupervised band selection

Indexed keywords

CLASSIFICATION (OF INFORMATION); ECONOMIC AND SOCIAL EFFECTS; OPTIMIZATION; SPECTROSCOPY;

EID: 84906781720     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2331674     Document Type: Article
Times cited : (49)

References (22)
  • 1
    • 84897768048 scopus 로고    scopus 로고
    • A hypergraph based semisupervised band selection method for hyperspectral image classification
    • Sep.
    • Z. Guo, X. Bai, Z. Zhang, and J. Zhou, "A hypergraph based semisupervised band selection method for hyperspectral image classification," in Proc. IEEE ICIP, Brussels, Belguim, Sep. 2013, pp. 3137-3141.
    • (2013) Proc. EEE ICIP, Brussels, Belguim , pp. 3137-3141
    • Guo, Z.1    Bai, X.2    Zhang, Z.3    Zhou, J.4
  • 3
    • 84863068805 scopus 로고    scopus 로고
    • Sparse representation based band selection for hyperspectral images
    • Sep.
    • S. Li and H. Qi, "Sparse representation based band selection for hyperspectral images," in Proc. IEEE ICIP, Brussels, Belguim, Sep. 2011, pp. 2693-2696.
    • (2011) Proc. IEEE ICIP, Brussels, Belguim , pp. 2693-2696
    • Li, S.1    Qi, H.2
  • 4
    • 84880952006 scopus 로고    scopus 로고
    • A dashboard to analysis and synthesis of dimensionality reduction methods in remote sensing
    • Jun./Jul.
    • E. Sarhrouni, A. Hammouch, and D. Aboutajdine, "A dashboard to analysis and synthesis of dimensionality reduction methods in remote sensing," Int. J. Eng. Technol., vol. 5, no. 3, pp. 2678-2684, Jun./Jul. 2013.
    • (2013) Int. J. Eng. Technol. , vol.5 , Issue.3 , pp. 2678-2684
    • Sarhrouni, E.1    Hammouch, A.2    Aboutajdine, D.3
  • 5
    • 77954904859 scopus 로고    scopus 로고
    • Optimal band selection for hyperspectral image classification based on inter-class separability
    • Jun.
    • J. Yin, Y. Wang, and Z. Zhao, "Optimal band selection for hyperspectral image classification based on inter-class separability," in Proc. SOPO, Chengdu, China, Jun. 2010, pp. 1-4.
    • (2010) Proc. SOPO, Chengdu, China , pp. 1-4
    • Yin, J.1    Wang, Y.2    Zhao, Z.3
  • 6
    • 78650930212 scopus 로고    scopus 로고
    • An efficient method for supervised hyperspectral band selection
    • Jan.
    • H. Yang, Q. Du, H. Su, and Y. Sheng, "An efficient method for supervised hyperspectral band selection," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 1, pp. 138-142, Jan. 2011.
    • (2011) IEEE Geosci. Remote Sens. Lett. , vol.8 , Issue.1 , pp. 138-142
    • Yang, H.1    Du, Q.2    Su, H.3    Sheng, Y.4
  • 7
    • 33847145102 scopus 로고    scopus 로고
    • Hyperspectral image fusion using spectrally weighted kernels
    • DOI 10.1109/ICIF.2005.1591883, 1591883, 2005 7th International Conference on Information Fusion, FUSION
    • B. Guo, S. R. Gunn, R. I. Damper, and J. D. B. Nelson, "Hyperspectral image fusion using spectrally weighted kernels," in Proc. 8th Int. Conf. Inf. Fusion, 2005, vol. 1, pp. 402-408. (Pubitemid 46276237)
    • (2005) 2005 7th International Conference on Information Fusion, FUSION , vol.1 , pp. 402-408
    • Guo, B.1    Gunn, S.2    Damper, B.3    Nelson, J.4
  • 8
    • 84874558391 scopus 로고    scopus 로고
    • Classification oriented semi-supervised band selection for hyperspectral images
    • Nov.
    • J. Bai, S. Xiang, and C. Pan, "Classification oriented semi-supervised band selection for hyperspectral images," in Proc. ICPR, Tsukuba, Japan, Nov. 2012, pp. 1888-1891.
    • (2012) Proc. ICPR, Tsukuba, Japan , pp. 1888-1891
    • Bai, J.1    Xiang, S.2    Pan, C.3
  • 10
    • 0033224770 scopus 로고    scopus 로고
    • Joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification
    • DOI 10.1109/36.803411
    • C. I. Chang, Q. Du, T. L. Sun, andM. L. Althouse, "A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 6, pp. 2631-2641, Nov. 1999. (Pubitemid 30519596)
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.6 , pp. 2631-2641
    • Chang, C.-I.1    Du, Q.2    Sun, T.-L.3    Althouse, M.L.G.4
  • 11
    • 38349181507 scopus 로고    scopus 로고
    • A fast separability-based feature-selection method for high-dimensional remotely sensed image classification
    • May
    • B. Guo, R. I. Damper, S. R. Gunn, and J. D. B. Nelson, "A fast separability-based feature-selection method for high-dimensional remotely sensed image classification," Pattern Recognit., vol. 41, no. 5, pp. 1653-1662, May 2008.
    • (2008) Pattern Recognit. , vol.41 , Issue.5 , pp. 1653-1662
    • Guo, B.1    Damper, R.I.2    Gunn, S.R.3    Nelson, J.D.B.4
  • 12
    • 33750590333 scopus 로고    scopus 로고
    • Band selection for hyperspectral image classification using mutual information
    • DOI 10.1109/LGRS.2006.878240, 1715309
    • B. Guo, S. R. Gunn, R. I. Damper, and J. D. B. Nelson, "Band selection for hyperspectral image classification using mutual information," IEEE Geosci. Remote Sens. Lett., vol. 3, no. 4, pp. 522-526, Oct. 2006. (Pubitemid 44679664)
    • (2006) IEEE Geoscience and Remote Sensing Letters , vol.3 , Issue.4 , pp. 522-526
    • Guo, B.1    Gunn, S.R.2    Damper, R.I.3    Nelson, J.D.B.4
  • 13
    • 33744726231 scopus 로고    scopus 로고
    • Constrained band selection for hyperspectral imagery
    • DOI 10.1109/TGRS.2006.864389
    • C. I. Chang and S. Wang, "Constrained band selection for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1575-1585, Jun. 2006. (Pubitemid 43824504)
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.6 , pp. 1575-1585
    • Chang, C.-I.1    Wang, S.2
  • 14
    • 84906782033 scopus 로고    scopus 로고
    • An unsupervised band selection based on overall accuracy prediction
    • Aug. to be published
    • C. Sui, Y. Tian, and Y. Xu, "An unsupervised band selection based on overall accuracy prediction," in Proc. ICPR, Stockholm, Sweden, Aug. 2014, to be published.
    • (2014) Proc. ICPR, Stockholm, Sweden
    • Sui, C.1    Tian, Y.2    Xu, Y.3
  • 15
    • 84873170469 scopus 로고    scopus 로고
    • Maximum weight and minimum redundancy: A novel framework for feature subset selection
    • Jun.
    • J. Wang, L. Wu, J. Kong, Y. Li, and B. B. Zhang, "Maximum weight and minimum redundancy: A novel framework for feature subset selection," Pattern Recognit., vol. 46, no. 6, pp. 1616-1627, Jun. 2013.
    • (2013) Pattern Recognit. , vol.46 , Issue.6 , pp. 1616-1627
    • Wang, J.1    Wu, L.2    Kong, J.3    Li, Y.4    Zhang, B.B.5
  • 16
    • 84945278269 scopus 로고    scopus 로고
    • Band selection and its impact on target detection and classification in hyperspectral image analysis
    • Q. Du, "Band selection and its impact on target detection and classification in hyperspectral image analysis," in Proc. IEEE Workshop Adv. Tech. Anal. Remotely Sensed Data, 2003, pp. 374-377.
    • (2003) Proc. IEEE Workshop Adv. Tech. Anal. Remotely Sensed Data , pp. 374-377
    • Du, Q.1
  • 17
    • 33746256215 scopus 로고    scopus 로고
    • A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classification
    • DOI 10.1109/TIP.2006.875220
    • A. Baraldi, L. Bruzzone, and P. Blonda, "A multiscale expectationmaximization semisupervised classifier suitable for badly posed image classification," IEEE Trans. Image Process., vol. 15, no. 8, pp. 2208-2225, Aug. 2006. (Pubitemid 44089096)
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.8 , pp. 2208-2225
    • Baraldi, A.1    Bruzzone, L.2    Blonda, P.3
  • 18
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. R. Stat. Soc. B, Methodol., vol. 39, no. 1, pp. 1-38, 1977.
    • (1977) J. R. Stat. Soc. B, Methodol. , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 21
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • Jan.
    • T. Cover and P. Hart, "Nearest neighbor pattern classification, " IEEE Trans. Inf. Theory, vol. IT-13, no. 1, pp. 21-27, Jan. 1967.
    • (1967) IEEE Trans. Inf. Theory , vol.IT-13 , Issue.1 , pp. 21-27
    • Cover, T.1    Hart, P.2
  • 22
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • L. Breiman, "Random forests," Mach. Learn., vol. 45, no. 1, pp. 5-32, Oct. 2001. (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.