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Volumn 17, Issue 14, 1996, Pages 2719-2727

Principal components transform with simple, automatic noise adjustment

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE QUALITY; INFRARED IMAGING; INFRARED SPECTROMETERS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; SPURIOUS SIGNAL NOISE;

EID: 0030235916     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431169608949102     Document Type: Article
Times cited : (98)

References (18)
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  • 3
    • 84910828260 scopus 로고
    • Application of the Karhunen-Loeve expansion to feature selection and ordering
    • FUKUNAGA, K., and KOONTZ, W. L. G., 1970, Application of the Karhunen-Loeve expansion to feature selection and ordering. I.E.E.E. Transactions on Computers, 19, 311-318.
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    • Fukunaga, K.1    Koontz, W.L.G.2
  • 4
    • 0000720618 scopus 로고
    • Ante-dependence analysis of an ordered set of variables
    • GABRIEL, K. R., 1962, Ante-dependence analysis of an ordered set of variables. Annals of Mathematical Statistics, 33, 201-212.
    • (1962) Annals of Mathematical Statistics , vol.33 , pp. 201-212
    • Gabriel, K.R.1
  • 5
    • 0023854011 scopus 로고
    • A transformation for ordering multispectral data in terms of image quality with implications for noise removal
    • GREEN, A. A., BERMAN, M., SWITZER, P., and CRAIG, M. D., 1988, A transformation for ordering multispectral data in terms of image quality with implications for noise removal. J.E.E.E. Transactions on Geoscience and Remote Sensing, 26, 65-74.
    • (1988) J.E.E.E. Transactions on Geoscience and Remote Sensing , vol.26 , pp. 65-74
    • Green, A.A.1    Berman, M.2    Switzer, P.3    Craig, M.D.4
  • 7
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    • ). Pasadena, CA. U.S.A., 8-12 August 1994 (Piscataway, NJ: IEEE
    • HOFFBECK, J. P., and LANDGREBE, D. A., 1994, Effect of radiance-to-reflectance transformation and atmosphere removal on maximum likelihood classification accuracy of highdimensional remote sensing data. In Proceedings of the Internatiollal Geoscience and Remote Sensing Symposium (IGARSS’94). Pasadena, CA. U.S.A., 8-12 August 1994 (Piscataway, NJ: IEEE), pp. 2538-2540.
    • (1994) Proceedings of the Internatiollal Geoscience and Remote Sensing Symposium (IGARSS’94 , pp. 2538-2540
    • Hoffbeck, J.P.1    Landgrebe, D.A.2
  • 10
    • 0025430387 scopus 로고
    • Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform
    • LEE, J. B., Woodyatt, A. S., and BERMAN, M., 1990, Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform. I.E.E.E. Transactions on Geoscience and Remote Sensing, 28, 295·-304.
    • (1990) I.E.E.E. Transactions on Geoscience and Remote Sensing , vol.28
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  • 13
    • 0028545567 scopus 로고
    • A faster way to compute the Noise-Adjusted Principal Components transform matrix
    • ROGER, R. E., 1994, A faster way to compute the Noise-Adjusted Principal Components transform matrix. I.£.£.E. Transactions on Geoscience and Remote Sensing, 32, 1194-1196.
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  • 14
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    • Sparse inverse covariance matrices and efficient Maximum Likelihood Classification of hyperspectral data
    • ROGER, R. E., 1995, Sparse inverse covariance matrices and efficient Maximum Likelihood Classification of hyperspectral data. International Journal of Remote Sensing, 17, 589-613.
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    • Roger, R.E.1
  • 15
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    • ROGER, R. E., and ARNOLD, J. F., 1994, A reliable method for estimating the noise in AVIRIS hyperspectral images. Proceedings of the 7th Australasian Remote Sensing Conference, Melbourne. Australia. 1-4 March 1994 (Floreat, WA: Remote Sensing and Photogrammetry Association Australia Ltd), pp. 527-533.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.