메뉴 건너뛰기




Volumn 38, Issue 5 II, 2000, Pages 2346-2360

Linear spectral mixture models and support vector machines for remote sensing

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; DATABASE SYSTEMS; IMAGE ANALYSIS; IMAGE QUALITY; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS;

EID: 0034270699     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.868891     Document Type: Article
Times cited : (210)

References (35)
  • 1
    • 0001395470 scopus 로고
    • Spectral mixture modeling: A new analysis of rock and soil types at the Viking lander 1 site
    • J. B. Adams, M. O. Smith, and P. E. Johnson, "Spectral mixture modeling: A new analysis of rock and soil types at the Viking lander 1 site," J. Geophys. Res., vol. 91, no. B8, pp. 8098-8112, 1986.
    • (1986) J. Geophys. Res. , vol.91 , Issue.B8 , pp. 8098-8112
    • Adams, J.B.1    Smith, M.O.2    Johnson, P.E.3
  • 2
    • 0016883384 scopus 로고
    • A land use and land cover classification system for use with remotely sensed data
    • Professional Paper 964 Reston, VA
    • J. R. Anderson, E. E. Hardy, J. T. Roach, and R. E. Witmer, "A land use and land cover classification system for use with remotely sensed data," U.S. Geol. Survey, Professional Paper 964, Reston, VA, 1976.
    • (1976) U.S. Geol. Survey
    • Anderson, J.R.1    Hardy, E.E.2    Roach, J.T.3    Witmer, R.E.4
  • 3
    • 0031106029 scopus 로고    scopus 로고
    • Mapping sub-pixel proportional land cover with AVHRR imagery
    • P. M. Atkinson, M. E. J. Cutler, and H. G. Lewis, "Mapping sub-pixel proportional land cover with AVHRR imagery," Int. J. Remote Sensing. vol. 18, no. 4, pp. 917-935, 1997.
    • (1997) Int. J. Remote Sensing , vol.18 , Issue.4 , pp. 917-935
    • Atkinson, P.M.1    Cutler, M.E.J.2    Lewis, H.G.3
  • 5
    • 0031142019 scopus 로고    scopus 로고
    • Training strategies for neural network soft classification of remotely-sensed imagery
    • A. C. Bernard, G. G. Wilkinson, and I. Kanellopoulos, "Training strategies for neural network soft classification of remotely-sensed imagery," Int. J. Remote Sensing, vol. 18, no. 8, pp. 1851-1856, 1997.
    • (1997) Int. J. Remote Sensing , vol.18 , Issue.8 , pp. 1851-1856
    • Bernard, A.C.1    Wilkinson, G.G.2    Kanellopoulos, I.3
  • 8
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • U. Fayyad, Ed. Boston, MA: Kluwer Academic
    • C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," in Data Mining and Knowledge Discovery. U. Fayyad, Ed. Boston, MA: Kluwer Academic, 1998, pp. 1-13.
    • (1998) Data Mining and Knowledge Discovery , pp. 1-13
    • Burges, C.J.C.1
  • 10
    • 0031105570 scopus 로고    scopus 로고
    • Non-linear mixture modeling without end-members using an artificial neural network
    • G. M. Foody, R. M. Lucas, P. J. Curran, and M. Honzak, "Non-linear mixture modeling without end-members using an artificial neural network," Int. J. Remote Sensing, vol. 18, pp. 937-953, 1997.
    • (1997) Int. J. Remote Sensing , vol.18 , pp. 937-953
    • Foody, G.M.1    Lucas, R.M.2    Curran, P.J.3    Honzak, M.4
  • 11
    • 0030292138 scopus 로고    scopus 로고
    • Linear spectral mixture modelling to estimate vegetation amount from optical spectral data
    • F. J. Garcia-Haro, M. A. Gilabert, and J. Melia, "Linear spectral mixture modelling to estimate vegetation amount from optical spectral data," Int. J. Remote Sensing, vol. 17, no. 17, pp. 3373-3400, 1996.
    • (1996) Int. J. Remote Sensing , vol.17 , Issue.17 , pp. 3373-3400
    • Garcia-Haro, F.J.1    Gilabert, M.A.2    Melia, J.3
  • 13
    • 0003425664 scopus 로고    scopus 로고
    • Support vector machines for classification and regression
    • Dept. Electron. Comput. Sei., Univ. Southampton, Southampton, U.K.
    • _, "Support vector machines for classification and regression," Tech. Rep. ISIS-1-98, Dept. Electron. Comput. Sei., Univ. Southampton, Southampton, U.K., 1998.
    • (1998) Tech. Rep. ISIS-1-98
  • 14
    • 0003624950 scopus 로고    scopus 로고
    • Linear mixture modelling solution methods for satellite remote sensing
    • Cranfield Univ., Bedford, U.K.
    • S. E. Hobbs, "Linear mixture modelling solution methods for satellite remote sensing," Tech. Rep. COA-9603, Cranfield Univ., Bedford, U.K., 1996.
    • (1996) Tech. Rep. COA-9603
    • Hobbs, S.E.1
  • 15
    • 0004037837 scopus 로고
    • Estimating the proportion of objects within a single resolution element of a multispectral scanner
    • Univ. Michigan, Ann Arbor, MI
    • H. M. Horwitz, R. F Nalepka, P. D. Hyde, and J. P. Morganstern, "Estimating the proportion of objects within a single resolution element of a multispectral scanner," Tech. Rep. NASA Contract NAS-9-9784, Univ. Michigan, Ann Arbor, MI, 1971.
    • (1971) Tech. Rep. NASA Contract NAS-9-9784
    • Horwitz, H.M.1    Nalepka, R.F.2    Hyde, P.D.3    Morganstern, J.P.4
  • 16
    • 84898982939 scopus 로고    scopus 로고
    • Exploiting generative models in discriminative classifiers
    • Cambridge, MA: MIT Press
    • T. S. Jaakkola and D. Haussler, "Exploiting generative models in discriminative classifiers," in Neural Information Processing Systems 11. Cambridge, MA: MIT Press, 1999.
    • (1999) Neural Information Processing Systems 11 , vol.11
    • Jaakkola, T.S.1    Haussler, D.2
  • 17
    • 0024855567 scopus 로고
    • An evaluation of multi-date SPOT data for agriculture and land use mapping in the United Kingdom
    • N. Jewell, "An evaluation of multi-date SPOT data for agriculture and land use mapping in the United Kingdom," Int. J. Remote Sensing, vol. 10, pp. 939-951, 1989.
    • (1989) Int. J. Remote Sensing , vol.10 , pp. 939-951
    • Jewell, N.1
  • 18
    • 0026442955 scopus 로고
    • Landcover discrimination in SPOT HRV imagery using an artificial neural network-A 20-class experiment
    • I. Kanellopoulos, A. Varfis, G. G. Wilkinson, and J. Megier, "Landcover discrimination in SPOT HRV imagery using an artificial neural network-A 20-class experiment," Int. J. Remote Sensing, vol. 13, pp. 917-924, 1992.
    • (1992) Int. J. Remote Sensing , vol.13 , pp. 917-924
    • Kanellopoulos, I.1    Varfis, A.2    Wilkinson, G.G.3    Megier, J.4
  • 19
    • 0024072154 scopus 로고
    • Spatial classification using fuzzy membership models
    • Sept.
    • J. T. Kent and K. V Mardia, "Spatial classification using fuzzy membership models," IEEE Trans. Pattern Anal. Machine Intell, vol. 19, pp. 659-671, Sept. 1988.
    • (1988) IEEE Trans. Pattern Anal. Machine Intell , vol.19 , pp. 659-671
    • Kent, J.T.1    Mardia, K.V.2
  • 20
    • 84946632251 scopus 로고
    • Classical and inverse methods of calibration
    • R. G. Krutchoff, "Classical and inverse methods of calibration," Technometrics, vol. 9, pp. 425-139, 1967.
    • (1967) Technometrics , vol.9 , pp. 425-1139
    • Krutchoff, R.G.1
  • 21
    • 0003196877 scopus 로고    scopus 로고
    • Data analysis and empirical classification in FLIERS
    • Dept. Electron. Comput. Sei., Univ. Southampton, Southampton, U.K.
    • H. G. Lewis, M. Brown, A. R. L. Tatnall, M. Nixon, and J. Manslow, "Data analysis and empirical classification in FLIERS," Tech. Rep. ISIS-3-98, Dept. Electron. Comput. Sei., Univ. Southampton, Southampton, U.K., 1998.
    • (1998) Tech. Rep. ISIS-3-98
    • Lewis, H.G.1    Brown, M.2    Tatnall, A.R.L.3    Nixon, M.4    Manslow, J.5
  • 23
    • 0003204874 scopus 로고    scopus 로고
    • On the probabilistic interpretation of area based fuzzy land cover mixing proportions
    • S. Lek, J.-F. Guégan, R. Allan, and U. Forstner, Eds. Berlin, Germany: Springer-Verlag
    • J. F Manslow, M. Brown, and M. S. Nixon, "On the probabilistic interpretation of area based fuzzy land cover mixing proportions," in Artificial Neuronal Networks: Application to Ecology and Evolution, S. Lek, J.-F. Guégan, R. Allan, and U. Forstner, Eds. Berlin, Germany: Springer-Verlag, 2000.
    • (2000) Artificial Neuronal Networks: Application to Ecology and Evolution
    • Manslow, J.F.1    Brown, M.2    Nixon, M.S.3
  • 25
    • 0030673582 scopus 로고    scopus 로고
    • Training support vector machines: An application to face detection
    • San Juan, Puerto Rico
    • E. Osuna, R. Freund, and F Girosi, "Training support vector machines: An application to face detection," in Proc. Computer Vision and Pattern Recognition, San Juan, Puerto Rico, 1997, pp. 130-136.
    • (1997) Proc. Computer Vision and Pattern Recognition , pp. 130-136
    • Osuna, E.1    Freund, R.2    Girosi, F.3
  • 26
    • 0025589318 scopus 로고
    • Characterization and error analysis of profiles retrieved from remotely sounding measurements
    • C. D. Rogers, "Characterization and error analysis of profiles retrieved from remotely sounding measurements," J. Geophys. Res., vol. 95, no. D5, pp. 5587-5595, 1990.
    • (1990) J. Geophys. Res. , vol.95 , Issue.D5 , pp. 5587-5595
    • Rogers, C.D.1
  • 27
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Scholkopf, A. Smola, and K. R. Muller, "Nonlinear component analysis as a kernel eigenvalue problem,"Neural Comput., vol. 10, no. 5, pp. 1299-1319, 1998.
    • (1998) Neural Comput. , vol.10 , Issue.5 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.R.3
  • 28
    • 0004094721 scopus 로고    scopus 로고
    • Ph.D. dissertation, Tech. Univ. Berlin, Berlin, Germany
    • A. Smola, "Learning with kernels," Ph.D. dissertation, Tech. Univ. Berlin, Berlin, Germany, 1998.
    • (1998) Learning with Kernels
    • Smola, A.1
  • 30
    • 0027334540 scopus 로고
    • Linear mixing and the estimation of ground cover proportions
    • J. J. Settle and N. A. Drake, "Linear mixing and the estimation of ground cover proportions,"to. J. Remote Sensing, vol. 14, no. 6, pp. 1159-1177, 1993.
    • (1993) J. Remote Sensing , vol.14 , Issue.6 , pp. 1159-1177
    • Settle, J.J.1    Drake, N.A.2
  • 31
    • 0029729119 scopus 로고    scopus 로고
    • Woodland area estimation by spectral mixing: Applying a goodness-of-fit solution method
    • G. Thomas, S. E. Hobbs, and M. Dufour, "Woodland area estimation by spectral mixing: Applying a goodness-of-fit solution method," Int. J. Remote Sensing, vol. 17, no. 2, pp. 291-301, 1996.
    • (1996) Int. J. Remote Sensing , vol.17 , Issue.2 , pp. 291-301
    • Thomas, G.1    Hobbs, S.E.2    Dufour, M.3
  • 32
    • 0028810081 scopus 로고
    • Estimation of ground cover composition per pixel after matching image and ground data with subpixel accuracy
    • E. J. van Koowijk, H. van der Voet, and J. J. M. Berdowski, "Estimation of ground cover composition per pixel after matching image and ground data with subpixel accuracy," Int. J. Remote Sensing, vol. 16, no. 1, pp. 97-111, 1995.
    • (1995) Int. J. Remote Sensing , vol.16 , Issue.1 , pp. 97-111
    • Van Koowijk, E.J.1    Van Der Voet, H.2    Berdowski, J.J.M.3
  • 34
    • 0003425673 scopus 로고    scopus 로고
    • Multi-class support vector machines
    • Royal Holloway, Univ. London, London, U.K.
    • J. Weston and C. Watkins, "Multi-class support vector machines," Tech. Rep. CSD-TR-98-04, Royal Holloway, Univ. London, London, U.K., 1998.
    • (1998) Tech. Rep. CSD-TR-98-04
    • Weston, J.1    Watkins, C.2
  • 35
    • 0031429626 scopus 로고    scopus 로고
    • Landsat TM spectral information to enhance the land cover of Scotland 1988dataset
    • B. Wright and B. Morrice, "Landsat TM spectral information to enhance the land cover of Scotland 1988dataset,"/J. J. Remote Sensing, vol. 18, pp. 3811-3834, 1997.
    • (1997) J. J. Remote Sensing , vol.18 , pp. 3811-3834
    • Wright, B.1    Morrice, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.