메뉴 건너뛰기




Volumn 24, Issue 20, 2003, Pages 3917-3931

Radial basis function and multilayer perceptron neural networks for sea water optically active parameter estimation in case II waters: A comparison

Author keywords

[No Author keywords available]

Indexed keywords

CHLOROPHYLL; COASTAL ZONES; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; STATISTICAL METHODS;

EID: 0142259818     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/0143116031000103781     Document Type: Article
Times cited : (31)

References (19)
  • 1
    • 0027061334 scopus 로고
    • Light backscattering efficiency and related properties of some phytoplankton
    • AHN, Y. H., BRICAUD, A., and MOREL, A., 1992, Light backscattering efficiency and related properties of some phytoplankton. Deep-Sea Research, 39, 1835-1855.
    • (1992) Deep-Sea Research , vol.39 , pp. 1835-1855
    • Ahn, Y.H.1    Bricaud, A.2    Morel, A.3
  • 2
    • 0033563954 scopus 로고    scopus 로고
    • The use of NN for estimation of oceanic constituents based on MERIS instrument
    • BUCKTON, D., and O'MONGAIN, E., 1999, The use of NN for estimation of oceanic constituents based on MERIS instrument. International Journal of Remote Sensing, 20, 1841-1851.
    • (1999) International Journal of Remote Sensing , vol.20 , pp. 1841-1851
    • Buckton, D.1    O'Mongain, E.2
  • 3
    • 0029473459 scopus 로고
    • The lognormal distribution as a model for bio-optical variability in the sea
    • CAMPBELL, J. W., 1995, The lognormal distribution as a model for bio-optical variability in the sea. Journal of Geophysical Research, 100, 13237-13254.
    • (1995) Journal of Geophysical Research , vol.100 , pp. 13237-13254
    • Campbell, J.W.1
  • 4
    • 58049171729 scopus 로고    scopus 로고
    • The modular optoelectronic scanner MOS: A study of its capabilities for optically active parameter estimation by means of an ocean color model
    • CIPOLLINI, P., and CORSINI, G., 1996, The modular optoelectronic scanner MOS: a study of its capabilities for optically active parameter estimation by means of an ocean color model. Proceedings of SPIE, 2963, 648-653.
    • (1996) Proceedings of SPIE , vol.2963 , pp. 648-653
    • Cipollini, P.1    Corsini, G.2
  • 5
    • 0035391688 scopus 로고    scopus 로고
    • Retrieval of sea water Optically Active Parameters from hyperspectral data by means of Generalised Radial Basis Function Neural Networks
    • CIPOLLINI, P., CORSINI, G., DIANI, M., and GRASSO, R., 2001, Retrieval of sea water Optically Active Parameters from hyperspectral data by means of Generalised Radial Basis Function Neural Networks. IEEE Transactions on Geoscience and Remote Sensing, 39, 1508-1524.
    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , pp. 1508-1524
    • Cipollini, P.1    Corsini, G.2    Diani, M.3    Grasso, R.4
  • 6
    • 0036705430 scopus 로고    scopus 로고
    • Regional bio-optical algorithms for the Alboran Sea from a reflectance model and in situ data
    • GL013861, 13 August
    • CORSINI, G., GRASSO, R., and CIPOLLINI, P., 2002, Regional bio-optical algorithms for the Alboran Sea from a reflectance model and in situ data. Geophysical Research Letters, GL013861, 13 August.
    • (2002) Geophysical Research Letters
    • Corsini, G.1    Grasso, R.2    Cipollini, P.3
  • 7
    • 0016470023 scopus 로고
    • Computed relationships between the inherent and apparent optical properties of a flat homogeneous ocean
    • GORDON, H. R., BROWN, O. B., and JACOBS, M. M., 1975, Computed relationships between the inherent and apparent optical properties of a flat homogeneous ocean. Applied Optics, 14, 417-427.
    • (1975) Applied Optics , vol.14 , pp. 417-427
    • Gordon, H.R.1    Brown, O.B.2    Jacobs, M.M.3
  • 8
    • 0020545574 scopus 로고
    • Phytoplankton pigment concentrations in the Middle Atlantic Bight: Comparison of ship determinations and CZCS estimates
    • GORDON, H. R., CLARK, D. K., BROWN, J. W., BROWN, O. B., EVANS, R. H., and BROENKOW, W. W., 1983, Phytoplankton pigment concentrations in the Middle Atlantic Bight: Comparison of ship determinations and CZCS estimates. Applied Optics, 22, 20-36.
    • (1983) Applied Optics , vol.22 , pp. 20-36
    • Gordon, H.R.1    Clark, D.K.2    Brown, J.W.3    Brown, O.B.4    Evans, R.H.5    Broenkow, W.W.6
  • 9
    • 0033670138 scopus 로고    scopus 로고
    • Artificial neural networks for modeling the transfer function between marine reflectance and phytoplankton pigment concentration
    • GROSS, L., THIRIA, S., FROUIN, R., and MITCHELL, B. G., 2000, Artificial neural networks for modeling the transfer function between marine reflectance and phytoplankton pigment concentration. Journal of Geophysical Research, 105, 3483-3495.
    • (2000) Journal of Geophysical Research , vol.105 , pp. 3483-3495
    • Gross, L.1    Thiria, S.2    Frouin, R.3    Mitchell, B.G.4
  • 11
    • 0025751820 scopus 로고
    • Approximation capabilities of multilayer feedforward networks
    • HORNIK, K., 1991, Approximation capabilities of Multilayer Feedforward Networks. Neural Networks, 4, 251-257.
    • (1991) Neural Networks , vol.4 , pp. 251-257
    • Hornik, K.1
  • 12
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • HORNIK, K., STINCHCOMBE, M., and WHITE, H., 1989, Multilayer Feedforward Networks are Universal Approximators. Neural Networks, 2, 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 13
    • 85032752004 scopus 로고
    • Progress in supervised neural networks
    • January
    • HUSH, D. R., and HORNE, B. G., 1993, Progress in Supervised Neural Networks. IEEE Signal Processing Magazine, 10, January, 8-39.
    • (1993) IEEE Signal Processing Magazine , vol.10 , pp. 8-39
    • Hush, D.R.1    Horne, B.G.2
  • 14
    • 0033540298 scopus 로고    scopus 로고
    • Estimating oceanic chlorophyll concentrations with neural networks
    • KEINER, L. E., and BROWN, C. W., 1999, Estimating oceanic chlorophyll concentrations with neural networks. International Journal of Remote Sensing, 20, 189-194.
    • (1999) International Journal of Remote Sensing , vol.20 , pp. 189-194
    • Keiner, L.E.1    Brown, C.W.2
  • 15
    • 0032162356 scopus 로고    scopus 로고
    • Decision trees can initialize radial-basis function networks
    • KUBAT, M., 1998, Decision trees can initialize radial-basis function networks. IEEE Transactions on Neural Networks, 9, 813-821.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , pp. 813-821
    • Kubat, M.1
  • 16
    • 84986828862 scopus 로고
    • Analysis of variations in ocean colour
    • MOREL, A., and PRIEUR, L., 1977, Analysis of variations in ocean colour. Limnology and Oceanography, 22, 709-722.
    • (1977) Limnology and Oceanography , vol.22 , pp. 709-722
    • Morel, A.1    Prieur, L.2
  • 18
    • 0024855703 scopus 로고
    • A three-component model of ocean colour and its application to remote sensing of phytoplankton pigments in coastal waters
    • SATYENDRANATH, S., PRIEUR, L., and MOREL, A., 1989, A three-component model of ocean colour and its application to remote sensing of phytoplankton pigments in coastal waters. International Journal of Remote Sensing, 10, 1373-1394.
    • (1989) International Journal of Remote Sensing , vol.10 , pp. 1373-1394
    • Satyendranath, S.1    Prieur, L.2    Morel, A.3
  • 19
    • 0033563923 scopus 로고    scopus 로고
    • Neural network for emulation of an inverse model operational derivation of Case II water properties from MERIS data
    • SCHILLER, H., and DOERFFER, R., 1999, Neural network for emulation of an inverse model operational derivation of Case II water properties from MERIS data. International Journal of Remote Sensing, 20, 1735-1746.
    • (1999) International Journal of Remote Sensing , vol.20 , pp. 1735-1746
    • Schiller, H.1    Doerffer, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.