메뉴 건너뛰기




Volumn 5, Issue 1, 2011, Pages

Approaching bathymetry estimation from high resolution multispectral satellite images using a neuro-fuzzy technique

Author keywords

bathymetry estimation; high resolution remotely sensed images; neuro fuzzy systems; regression

Indexed keywords

BATHYMETRY; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS;

EID: 84855238230     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.3569125     Document Type: Article
Times cited : (22)

References (17)
  • 1
    • 0002534633 scopus 로고
    • Water depth determination using remote sensing techniques
    • Michigan University Ann Arbor Institute of Science and Technology, Ann Arbor, MI
    • F. C., Polcyn and I. J., Sattinger, " Water depth determination using remote sensing techniques, " in, Proc. 6th Int. Symp. Remote Sens. Environ., pp. 1017-1028, Michigan University Ann Arbor Institute of Science and Technology, Ann Arbor, MI (1969).
    • (1969) Proc. 6th Int. Sym Remote Sens. Environ. , pp. 1017-1028
    • Polcyn, F.C.1    Sattinger, I.J.2
  • 2
    • 0017929001 scopus 로고
    • Passive remote sensing techniques for mapping water depth and bottom features
    • D. R., Lyzenga, " Passive remote sensing techniques for mapping water depth and bottom features, ", Appl. Opt., 17 (3), 379-383 (1978). 10.1364/AO.17.000379 (Pubitemid 8327424)
    • (1978) Applied Optics , vol.17 , Issue.3 , pp. 379-383
    • Lyzenga, D.R.1
  • 4
    • 0021072197 scopus 로고
    • Satellite imagery as an aid to bathymetric charting in the Red Sea
    • A. H., Benny and G. J., Dawson, " Satellite imagery as an aid to bathymetric charting in the Red Sea, ", Cartographic J., 20 (1), 5-16 (1983).
    • (1983) Cartographic J. , vol.20 , Issue.1 , pp. 5-16
    • Benny, A.H.1    Dawson, G.J.2
  • 5
    • 84975655908 scopus 로고
    • Water depth mapping from passive remote-sensing data under a generalized ratio assumption
    • 10.1364/AO.22.001134
    • J. M., Paredes and R. E., Spero, " Water depth mapping from passive remote-sensing data under a generalized ratio assumption, ", Appl. Opt., 22, 1134-1135 (1983). 10.1364/AO.22.001134
    • (1983) Appl. Opt. , vol.22 , pp. 1134-1135
    • Paredes, J.M.1    Spero, R.E.2
  • 6
    • 0028165907 scopus 로고
    • Diffuse reflectance of oceanic shallow waters: Influence of water depth and bottom albedo
    • 10.4319/lo.1994.39.7.1689
    • S., Maritorena, A., Morel, and B., Gentili, " Diffuse reflectance of oceanic shallow waters: Influence of water depth and bottom albedo, ", Limnol. Oceanog., 39 (7), 1689-1703 (1994). 10.4319/lo.1994.39.7.1689
    • (1994) Limnol. Oceanog. , vol.39 , Issue.7 , pp. 1689-1703
    • Maritorena, S.1    Morel, A.2    Gentili, B.3
  • 7
    • 0032615174 scopus 로고    scopus 로고
    • Hyperspectral remote sensing for shallow waters: 2. Deriving bottom depths and water properties by optimization
    • Z. P., Lee, K. L., Carder, C. D., Mobley, R. G., Steward, and J. S., Patch, " Hyperspectral remote sensing for shallow waters: 2. Deriving bottom depths and water properties by optimization, ", Appl. Opt., 38 (18), 3831-3843 (1999). 10.1364/AO.38.003831 (Pubitemid 129306599)
    • (1999) Applied Optics , vol.38 , Issue.18 , pp. 3831-3843
    • Lee, Z.1    Carder, K.L.2    Mobley, C.D.3    Steward, R.G.4    Patch, J.S.5
  • 9
    • 0032157949 scopus 로고    scopus 로고
    • Coastal bathymetry from hyperspectral observations of water radiance
    • DOI 10.1016/S0034-4257(98)00043-1, PII S0034425798000431
    • J. C., Sandidge and R. J., Holyer, " Coastal bathymetry from hyperspectral observations of water radiance, ", Remote Sens. Environ., 65, 341-352 (1998). 10.1016/S0034-4257(98)00043-1 (Pubitemid 29360709)
    • (1998) Remote Sensing of Environment , vol.65 , Issue.3 , pp. 341-352
    • Sandidge, J.C.1    Holyer, R.J.2
  • 10
    • 84855239241 scopus 로고    scopus 로고
    • Bathymetry estimation in littoral areas by fusing multispectral satellite data and depth samples from AUVs
    • 25-27 September, Lerici, Italy, Poster contribution, NATO Undersea Research Center
    • R., Grasso, C., Trees, F., Spina, and J. C., Legac, " Bathymetry estimation in littoral areas by fusing multispectral satellite data and depth samples from AUVs, " presented at, NURC REA Conf., 25-27 September, 2007, Lerici, Italy, Poster contribution, NATO Undersea Research Center.
    • (2007) NURC REA Conf.
    • Grasso, R.1    Trees, C.2    Spina, F.3    Legac, J.C.4
  • 11
    • 85013603130 scopus 로고    scopus 로고
    • Solving the ocean color inverse problem by using evolutionary multi-objective optimization of neuro-fuzzy systems
    • M., Cococcioni, G., Corsini, B., Lazzerini, and F., Marcelloni, " Solving the ocean color inverse problem by using evolutionary multi-objective optimization of neuro-fuzzy systems, ", Int. J. Knowledge-based Intel. Syst., 2, 339-355 (2008).
    • (2008) Int. J. Knowledge-based Intel. Syst. , vol.2 , pp. 339-355
    • Cococcioni, M.1    Corsini, G.2    Lazzerini, B.3    Marcelloni, F.4
  • 12
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference systems
    • 10.1109/21.256541
    • J.-S. R., Jang, " ANFIS: Adaptive-network-based fuzzy inference systems, ", IEEE Trans. Syst. Man Cybern., 23 (3), 665-685 (1993). 10.1109/21.256541
    • (1993) IEEE Trans. Syst. Man Cybern. , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.-S.R.1
  • 13
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modeling and control
    • T., Takagi and M., Sugeno, "Fuzzy identification of systems and its application to modeling and control, ", IEEE Trans. Syst. Man Cybern., 15, 116-132 (1985).
    • (1985) IEEE Trans. Syst. Man Cybern. , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 14
    • 0026366218 scopus 로고
    • Neural-network based fuzzy logic control and decision system
    • 10.1109/12.106218
    • C.-T., Lin and C. S. G., Lee, " Neural-network based fuzzy logic control and decision system, ", IEEE Trans. Comput., 40 (12), 1320-1336 (1991). 10.1109/12.106218
    • (1991) IEEE Trans. Comput. , vol.40 , Issue.12 , pp. 1320-1336
    • Lin, C.-T.1    Lee, C.S.G.2
  • 15
    • 72249096184 scopus 로고    scopus 로고
    • The MathWorks, Inc. , September
    • The MathWorks, Inc., Fuzzy Logic Toolbox 2 User's Guide, September, 2009. http://www.mathworks.com/access/helpdesk/help/toolbox/fuzzy/.
    • (2009) Fuzzy Logic Toolbox 2 User's Guide
  • 16
    • 85121203554 scopus 로고
    • Fuzzy modeling using generalized neural networks and Kalman filter algorithm
    • Association for the Advancement of Artificial Intelligence, Anaheim, CA
    • J.-S. R., Jang, " Fuzzy modeling using generalized neural networks and Kalman filter algorithm, " in, Proc. 9th National Conf. Artificial Intel. (AAAI-91), pp. 762-767, Association for the Advancement of Artificial Intelligence, Anaheim, CA (1991).
    • (1991) Proc. 9th National Conf. Artificial Intel. (AAAI-91) , pp. 762-767
    • Jang, J.-S.R.1
  • 17
    • 1842531254 scopus 로고    scopus 로고
    • In-sample or Out-of-sample Tests of Predictability: Which One Should We Use?
    • A., Inoue and L., Kilian, " In-sample or out-of-sample tests of predictability: Which one should we use?, " ECB Working Paper No. 195 (2002); http://ssrn.com/abstract=358500.
    • (2002) ECB Working Paper , Issue.195
    • Inoue, A.1    Kilian, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.