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Volumn 1, Issue , 2005, Pages 402-408

Hyperspectral image fusion using spectrally weighted kernels

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA STRUCTURES; ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS; TRACKING (POSITION);

EID: 33847145102     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2005.1591883     Document Type: Conference Paper
Times cited : (21)

References (20)
  • 1
    • 85032751896 scopus 로고    scopus 로고
    • Hyperspectral image data analysis
    • D. Landgrebe. Hyperspectral image data analysis. IEEE Signal Processing Magazine, 19(1):17-28, 2002.
    • (2002) IEEE Signal Processing Magazine , vol.19 , Issue.1 , pp. 17-28
    • Landgrebe, D.1
  • 2
    • 0003497127 scopus 로고    scopus 로고
    • On information extraction principles for hyperspectral data: A white paper
    • Technical Report, School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, U.S
    • D. Landgrebe. On information extraction principles for hyperspectral data: A white paper. Technical Report, School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, U.S., 1997.
    • (1997)
    • Landgrebe, D.1
  • 4
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
    • G. Hughes. On the mean accuracy of statistical pattern recognizers. IEEE transaction on Information Theory, 14:55-63, 1968.
    • (1968) IEEE transaction on Information Theory , vol.14 , pp. 55-63
    • Hughes, G.1
  • 5
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. Burges. A tutorial on support vector machines for pattern recognition. Knowledge Discovery and Data Mining, 2(2):121-167, 1998.
    • (1998) Knowledge Discovery and Data Mining , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.1
  • 8
    • 0034270699 scopus 로고    scopus 로고
    • Linear spectral mixture models and support vector machines for remote sensing
    • M. Brown, H.G. Lewis, and S.R. Gunn. Linear spectral mixture models and support vector machines for remote sensing. IEEE Trans. on Geoscience and Remote Sensing, 38(5):2346-2360, 1999.
    • (1999) IEEE Trans. on Geoscience and Remote Sensing , vol.38 , Issue.5 , pp. 2346-2360
    • Brown, M.1    Lewis, H.G.2    Gunn, S.R.3
  • 9
    • 0037138473 scopus 로고    scopus 로고
    • An assessment of support vector machines for land cover classification
    • February
    • C. Huang, L.S. Davis, and J.R. Townshend. An assessment of support vector machines for land cover classification. International Journal of Remote Sensing, 23(4):725-749, February 2002.
    • (2002) International Journal of Remote Sensing , vol.23 , Issue.4 , pp. 725-749
    • Huang, C.1    Davis, L.S.2    Townshend, J.R.3
  • 11
    • 0036403214 scopus 로고    scopus 로고
    • Classification of hyperspectral images with nonlinear filtering and support vector machines
    • oronto, Canada, June
    • M. Lennon, G. Mercier, and L. Hubert-Moy. Classification of hyperspectral images with nonlinear filtering and support vector machines. In Proceeding of IGARSS 2002, oronto, Canada, June 2002.
    • (2002) Proceeding of IGARSS 2002
    • Lennon, M.1    Mercier, G.2    Hubert-Moy, L.3
  • 12
    • 0035054167 scopus 로고    scopus 로고
    • Support vector machines for remotesensing image classification. In Sebastiane B. Serpico, editor
    • F. Roli and G. Fumera. Support vector machines for remotesensing image classification. In Sebastiane B. Serpico, editor, Proc. of SPIE Image and Signal Processing for Remote Sensing VI, volume 4170, 2001.
    • (2001) Proc. of SPIE Image and Signal Processing for Remote Sensing VI , vol.4170
    • Roli, F.1    Fumera, G.2
  • 14
    • 4344614511 scopus 로고    scopus 로고
    • Classification of hyperspectral remote sensing images with support vector machines
    • Aug
    • F. Melgani and L. Bruzzone. Classification of hyperspectral remote sensing images with support vector machines. IEEE Transactions on Geoscience and Remote Sensing, 42(8):1778-1790, Aug 2004.
    • (2004) IEEE Transactions on Geoscience and Remote Sensing , vol.42 , Issue.8 , pp. 1778-1790
    • Melgani, F.1    Bruzzone, L.2
  • 15
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • September
    • V. Vapnik. An overview of statistical learning theory. IEEE Transactions on Neural Networks, 10(5):988-999, September 1999.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.1
  • 16
    • 0003425664 scopus 로고    scopus 로고
    • Support vector machines for classification and regression
    • Technical Report, School of Electronics and Computer Science, University of Southampton, Southampton, U.K
    • S.R. Gunn. Support vector machines for classification and regression. Technical Report, School of Electronics and Computer Science, University of Southampton, Southampton, U.K., 1998.
    • (1998)
    • Gunn, S.R.1
  • 17
    • 0011728961 scopus 로고
    • The amount of information that y gives about x
    • N. Blachman. The amount of information that y gives about x. IEEE Transactions on Information Theory, 14(1):27-31, 1968.
    • (1968) IEEE Transactions on Information Theory , vol.14 , Issue.1 , pp. 27-31
    • Blachman, N.1
  • 19
    • 0043028206 scopus 로고    scopus 로고
    • Mutual-information-based registration of medical images: A survey
    • J. Pluim, J. Maintz, and M. Viergever. Mutual-information-based registration of medical images: a survey. IEEE Transactions on Medical Imaging, 22(8):986-1004, 2003.
    • (2003) IEEE Transactions on Medical Imaging , vol.22 , Issue.8 , pp. 986-1004
    • Pluim, J.1    Maintz, J.2    Viergever, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.