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Volumn , Issue , 2007, Pages 425-428

A feature selection algorithm for class discrimination improvement

Author keywords

Feature selection; Image classification; Remote sensing

Indexed keywords

CLASS DISCRIMINATION IMPROVEMENT; OPTIMAL SUBSPACE;

EID: 82355181925     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2007.4422821     Document Type: Conference Paper
Times cited : (11)

References (13)
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    • Jimenez, L.O.1    Landgrebe, D.A.2
  • 2
    • 0031097203 scopus 로고    scopus 로고
    • Texture Fusion and Feature Selection Applied to SAR Imagery
    • H. S. Solberg, A. K. Jain. ,Texture Fusion and Feature Selection Applied to SAR Imagery". IEEE Trans. Geosci. Remote Sens, 35(2), pp. 475-479, 1997.
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    • Solberg, H.S.1    Jain, A.K.2
  • 3
    • 0035391615 scopus 로고    scopus 로고
    • A New Search Algorithm for Feature Selection in Hyperspectral Remote Sensing Images
    • B. Serpico, L. Buzzone, "A New Search Algorithm for Feature Selection in Hyperspectral Remote Sensing Images", IEEE Trans. Geosci. Remote Sens., pp. 1360-1367, 2001
    • (2001) IEEE Trans. Geosci. Remote Sens , pp. 1360-1367
    • Serpico, B.1    Buzzone, L.2
  • 4
    • 0031625616 scopus 로고    scopus 로고
    • Feature Selection for ERS-1/2 in SAR Classification: High Dimensionality Case
    • R. Huber, L. V. Dutra, "Feature Selection for ERS-1/2 in SAR Classification: High Dimensionality Case", Proc. of IGARSS'98, pp. 1907-1605, 1998.
    • (1998) Proc. of IGARSS'98 , pp. 1907-1605
    • Huber, R.1    Dutra, L.V.2
  • 5
    • 0031078007 scopus 로고    scopus 로고
    • Feature Selection: Evaluation, Application, and Small Sample Performance
    • A. Jain, D. Zongker, "Feature Selection: Evaluation, Application, and Small Sample Performance" IEEE Trans. Pattern Anal. Machine Intell, vol. 19, pp. 153-158, 1997.
    • (1997) IEEE Trans. Pattern Anal. Machine Intell , vol.19 , pp. 153-158
    • Jain, A.1    Zongker, D.2
  • 7
    • 33745794436 scopus 로고    scopus 로고
    • Evolutionary Generation of Prototypes for a Learning Vector Quantization Classifier
    • F. Rothlauf et al. eds, Springer-Verlag
    • L.P. Cordelia, C. De Stefano, F. Fontaneila, A. Marcelli, "Evolutionary Generation of Prototypes for a Learning Vector Quantization Classifier", in Lecture Notes in Computer Sciences, F. Rothlauf et al. eds., Springer-Verlag, vol. 3907, 2006, pp. 391-401.
    • (2006) Lecture Notes in Computer Sciences , vol.3907 , pp. 391-401
    • Cordelia, L.P.1    De Stefano, C.2    Fontaneila, F.3    Marcelli, A.4
  • 11
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    • Evaluation of the Grey-Level Co-Occurrence Matrix Method For Land-Cover Classification Using SPOT Imagery
    • D. J. Marceau, P. J. Howarth, J.-M. Dubois, D. J. Gratton, "Evaluation of the Grey-Level Co-Occurrence Matrix Method For Land-Cover Classification Using SPOT Imagery", IEEE Trans. Geosci. Remote Sens., vol. 28, pp. 513-519, 1990.
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    • Learning representations by back-propagating errors
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.