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Volumn 30, Issue 5, 2009, Pages 1109-1125

Global mean values in linear spectral unmixing: Double fallacy!

Author keywords

[No Author keywords available]

Indexed keywords

REMOTE SENSING; SENSORS;

EID: 67650230617     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802235886     Document Type: Article
Times cited : (5)

References (19)
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    • (2000) IEEE Transactions on Geoscience and Remote Sensing , vol.38 , pp. 1083-1094
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  • 5
    • 0003977901 scopus 로고    scopus 로고
    • ENVI 4.1 Research Systems Inc., Washington D.C., USA
    • ENVI 4.1 (2004) User's Guide, Research Systems Inc., Washington D.C., USA
    • (2004) User's Guide
  • 9
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    • A survey of spectral unmixing techniques
    • Keshava, N. (2003) A survey of spectral unmixing techniques. Lincoln Laboratory Journal, 14, pp. 55-78.
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    • Keshava, N.1
  • 10
    • 34548552732 scopus 로고    scopus 로고
    • Solving under-determined models in linear spectral unmixing of satellite images: Mix-unmix concept (advance report)
    • Ngigi, T. G. and Tateishi, R. (2007) Solving under-determined models in linear spectral unmixing of satellite images: Mix-unmix concept (advance report). Journal of Imaging Science and Technology, 51, pp. 360-367.
    • (2007) Journal of Imaging Science and Technology , vol.51 , pp. 360-367
    • Ngigi, T.G.1    Tateishi, R.2
  • 11
    • 46349084186 scopus 로고    scopus 로고
    • Comparison of a new classifier, mix-unmix classifier, with conventional hard and soft classifiers
    • Ngigi, T. G., Tateishi, R., Shalaby, A., Soliman, N. and Ghar, M. (2007) Comparison of a new classifier, mix-unmix classifier, with conventional hard and soft classifiers. International Journal of Remote Sensing, 29, pp. 4111-4128.
    • (2007) International Journal of Remote Sensing , vol.29 , pp. 4111-4128
    • Ngigi, T.G.1    Tateishi, R.2    Shalaby, A.3    Soliman, N.4    Ghar, M.5
  • 13
    • 0025841255 scopus 로고
    • The least squares mixing methods to generate fraction images derived from remote sensing multispectral data
    • Shimabukuro, Y. E. and Smith, J. A. (1991) The least squares mixing methods to generate fraction images derived from remote sensing multispectral data. IEEE Transactions on Geoscience and Remote Sensing, 29, pp. 16-20.
    • (1991) IEEE Transactions on Geoscience and Remote Sensing , vol.29 , pp. 16-20
    • Shimabukuro, Y.E.1    Smith, J.A.2
  • 14
    • 0035837463 scopus 로고    scopus 로고
    • Estimation of urban vegetation abundance by spectral mixture analysis
    • Small, C. (2000) Estimation of urban vegetation abundance by spectral mixture analysis. International Journal of Remote Sensing, 22, pp. 1305-1334.
    • (2000) International Journal of Remote Sensing , vol.22 , pp. 1305-1334
    • Small, C.1
  • 15
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    • Power-law correlations in column ozone over Antarctica
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    • Modern computational techniques for environmental data; application to the global ozone layer
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    • Varotsos, C.1
  • 17
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    • Long-memory processes in ozone and temperature variations at the region 60°S to 60°N
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.