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Volumn 2018-January, Issue , 2017, Pages 1999-2004

Spectral similarity for evaluating classification performance of traditional classifiers

Author keywords

Accuracy Assessment; Image Classification; Mahalanobis distance classifier; Maximum Likelihood classifier; Minimum distance to means classifier; Remote Sensing

Indexed keywords

CLASSIFICATION (OF INFORMATION); MAXIMUM LIKELIHOOD; REMOTE SENSING;

EID: 85046374101     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WiSPNET.2017.8300111     Document Type: Conference Paper
Times cited : (11)

References (17)
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  • 2
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  • 3
    • 84945252151 scopus 로고    scopus 로고
    • The spectral similarity scale and its application to the classification of hyperspectral remote sensing data
    • IEEE
    • J. N. Sweet, "The spectral similarity scale and its application to the classification of hyperspectral remote sensing data," in Advances in Techniques for Analysis of Remotely Sensed Data, 2003 IEEE Workshop on. IEEE, 2003, pp. 92-99.
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    • Sweet, J.N.1
  • 4
    • 36448957996 scopus 로고    scopus 로고
    • Separability analysis of land cover classes at regional scale: A comparative study of meris and modis data
    • H. Carraõ, P. Sarmento, A. Araújo, and M. Caetano, "Separability analysis of land cover classes at regional scale: A comparative study of meris and modis data," in Proceedings of the Envisat Symposium, 2007, pp. 23-27.
    • (2007) Proceedings of the Envisat Symposium , pp. 23-27
    • Carraõ, H.1    Sarmento, P.2    Araújo, A.3    Caetano, M.4
  • 9
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  • 15
    • 0034092755 scopus 로고    scopus 로고
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  • 16
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    • Comparative assessment of the measures of thematic classification accuracy
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.