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Volumn , Issue , 2007, Pages 389-393

Hyperspectral image analysis -A robust algorithm using support vectors and principal components

Author keywords

[No Author keywords available]

Indexed keywords

CLASSICAL APPROACH; HYPERSPECTRAL IMAGE ANALYSIS; SPECTRAL ANGLE; SPECTRAL ANGLE MAPPING (SAM);

EID: 34547370487     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCTA.2007.69     Document Type: Conference Paper
Times cited : (9)

References (16)
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    • Dimitris Manolakis and Gary Shaw, "Detection Algorithm for Hyper-spectral imaging Applications", IEEE Signal processing magazine, pp. 29-43, January 2002.
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    • Manolakis, D.1    Shaw, G.2
  • 3
    • 0036477182 scopus 로고    scopus 로고
    • Fuan Tsai and Philpot. W.D., A derivative-aided hyperspectral image analysis system for land-cover classification, IEEE Transactions on Geoscience and Remote Sensing, 40, No. 2, pp. 416-425, Feb. 2002.
    • Fuan Tsai and Philpot. W.D., "A derivative-aided hyperspectral image analysis system for land-cover classification", IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, No. 2, pp. 416-425, Feb. 2002.
  • 4
    • 0027338791 scopus 로고
    • The spectral image processing system (SIPS) - interactive visualization and analysis of imaging spectrometer data
    • Kruse F., Lefkoff A., Boardman J., Heidebrecht K., Shapiro Á., Barloon P. & Goetz A. "The spectral image processing system (SIPS) - interactive visualization and analysis of imaging spectrometer data", Remote Sensing of Environment, 44(2-3), pp. 145-163, 1993.
    • (1993) Remote Sensing of Environment , vol.44 , Issue.2-3 , pp. 145-163
    • Kruse, F.1    Lefkoff, A.2    Boardman, J.3    Heidebrecht, K.4    Shapiro, A.5    Barloon, P.6    Goetz, A.7
  • 5
    • 0242712308 scopus 로고    scopus 로고
    • Support Vector Machines for Hyperspectral Image Classification using Spectral-based Kernels
    • Mercier G., M. Lennon, "Support Vector Machines for Hyperspectral Image Classification using Spectral-based Kernels", Geosciences and Remote Sensing Symposium Proceedings, 288, 2003.
    • (2003) Geosciences and Remote Sensing Symposium Proceedings , vol.288
    • Mercier, G.1    Lennon, M.2
  • 7
    • 14644435059 scopus 로고    scopus 로고
    • Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations
    • Mar
    • Plaza A., Martinez P., Plaza J., and Perez R., "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, Mar 2005.
    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.3 , pp. 466-479
    • Plaza, A.1    Martinez, P.2    Plaza, J.3    Perez, R.4
  • 8
    • 0034314457 scopus 로고    scopus 로고
    • Unsupervised hyperspectral image analysis with projection pursuit
    • Nov
    • Ifarraguerri A., and Chein-I Chang, "Unsupervised hyperspectral image analysis with projection pursuit", IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No. 6, pp. 2529-2538,Nov 2000.
    • (2000) IEEE Transactions on Geoscience and Remote Sensing , vol.38 , Issue.6 , pp. 2529-2538
    • Ifarraguerri, A.1    Chang, C.2
  • 10
    • 33744719449 scopus 로고    scopus 로고
    • Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis
    • June
    • Jing Wang and Chein-I Chang; "Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis", IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 6, pp. 1586-1600, June 2006.
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.6 , pp. 1586-1600
    • Wang, J.1    Chang, C.2
  • 11
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    • Artificial neural networks for land-cover classification and mapping
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    • (1993) International Journal of Geophysical Information Systems , vol.7 , Issue.2 , pp. 173-186
    • Civco, D.L.1
  • 12
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    • A tutorial on support vector machines for pattern recognition
    • U. Fayyad, Ed. Kluwer Academic, pp
    • C. J. Burges, "A tutorial on support vector machines for pattern recognition," Data mining and knowledge discovery, U. Fayyad, Ed. Kluwer Academic, pp. 1-43, 1998.
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    • Burges, C.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.