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Volumn 312, Issue , 2010, Pages 443-454

Automatic dust storm detection based on supervised classification of multispectral data

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EID: 77958519236     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-15111-8_27     Document Type: Article
Times cited : (15)

References (18)
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    • Khazenie, N.1    Lee, T.F.2
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    • Saharan dust storm detection using MODIS thermal infrared bands
    • Hao, X., Qu, J.J.: Saharan dust storm detection using MODIS thermal infrared bands. Journal of Applied Remote Sensing 1, 013510 (2007)
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    • Hao, X.1    Qu, J.J.2
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    • Probabilistic neural networks for classification mapping or associative memory
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    • Specht, D.F.1
  • 12
    • 37649007609 scopus 로고    scopus 로고
    • Image texture classification using wavelet based curve fitting and probabilistic neural network
    • Ramakrishnan, S., Selvan, S.: Image texture classification using wavelet based curve fitting and probabilistic neural network. Int. J. Imaging Syst. Technol., 266-275 (2007)
    • (2007) Int. J. Imaging Syst. Technol. , pp. 266-275
    • Ramakrishnan, S.1    Selvan, S.2
  • 14
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic ROC curve
    • Hanley, J.A., McNeil, B.J.: The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143(1), 29 (1982)
    • (1982) Radiology , vol.143 , Issue.1 , pp. 29
    • Hanley, J.A.1    McNeil, B.J.2
  • 15
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    • Optimal temporal scale for the correlation of AOD and ground measurements of PM2.5 in a real-time air quality estimation system
    • Crosson, W., Rickman, D., Limaye, A.: Optimal temporal scale for the correlation of AOD and ground measurements of PM2.5 in a real-time air quality estimation system. Jnl. Atmospheric Environment 43(28), 303-4310 (2009)
    • (2009) Jnl. Atmospheric Environment , vol.43 , Issue.28 , pp. 303-4310
    • Crosson, W.1    Rickman, D.2    Limaye, A.3
  • 17
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    • ROC graphs: Notes and practical considerations for researchers
    • Fawcett, T.: ROC graphs: Notes and practical considerations for researchers. Machine Learning 31 (2004)
    • (2004) Machine Learning , vol.31
    • Fawcett, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.