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Volumn 73, Issue 8, 2007, Pages 913-921

Integrating fine scale information in super-resolution land-cover mapping

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; OPTICAL RESOLVING POWER; SATELLITES; SENSORS;

EID: 34547603818     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.73.8.913     Document Type: Article
Times cited : (29)

References (18)
  • 2
    • 85039196042 scopus 로고    scopus 로고
    • Atkinson, P.M., 2004. Super-resolution land cover classification using two-point histogram, Geostatistics for Environmental Applications (X. Sanchez-Villa, J. Carrera, and J. Gomez-Hernadez, editors), geoENV IV, Springer, pp. 15-28.
    • Atkinson, P.M., 2004. Super-resolution land cover classification using two-point histogram, Geostatistics for Environmental Applications (X. Sanchez-Villa, J. Carrera, and J. Gomez-Hernadez, editors), geoENV IV, Springer, pp. 15-28.
  • 4
    • 33748797418 scopus 로고    scopus 로고
    • Super-resolution land cover mapping with indicator geostatistics
    • Boucher, A., and P.C. Kyriakidis, 2006. Super-resolution land cover mapping with indicator geostatistics, Remote Sensing of Environment, 104(3):264-282.
    • (2006) Remote Sensing of Environment , vol.104 , Issue.3 , pp. 264-282
    • Boucher, A.1    Kyriakidis, P.C.2
  • 5
    • 0030455918 scopus 로고    scopus 로고
    • Transition probability-based indicator geostatistics
    • Carle, S.F., and G.E. Fogg, 1996. Transition probability-based indicator geostatistics, Mathematical Geology, 28(4),453-476.
    • (1996) Mathematical Geology , vol.28 , Issue.4 , pp. 453-476
    • Carle, S.F.1    Fogg, G.E.2
  • 9
    • 0024484953 scopus 로고
    • Non-Gaussian data expansion in the earth sciences
    • Journel, A., and F. Alabert, 1989, Non-Gaussian data expansion in the earth sciences, Terra Nova, 1(2):123-134.
    • (1989) Terra Nova , vol.1 , Issue.2 , pp. 123-134
    • Journel, A.1    Alabert, F.2
  • 10
    • 0025673374 scopus 로고
    • Characteristic behavior and order relations for indicator variograms
    • Journel, A., and D. Posa, 1990, Characteristic behavior and order relations for indicator variograms, Mathematical Geology, 22(8):1011-1025.
    • (1990) Mathematical Geology , vol.22 , Issue.8 , pp. 1011-1025
    • Journel, A.1    Posa, D.2
  • 11
    • 0030435154 scopus 로고    scopus 로고
    • Fast variogram computation with FFT
    • Marcotte, D,, 1996. Fast variogram computation with FFT, Computers & Geosciences, 22(10):1175-1186.
    • (1996) Computers & Geosciences , vol.22 , Issue.10 , pp. 1175-1186
    • Marcotte, D.1
  • 14
    • 0036141424 scopus 로고    scopus 로고
    • Super-resolution land cover pattern prediction using a Hopfield neural network
    • Tatem, A.J., H.G. Lewis, P.M. Atkinson, and M.S. Nixon, 2002. Super-resolution land cover pattern prediction using a Hopfield neural network, Remote Sensing of Environment, 79(1):1-14.
    • (2002) Remote Sensing of Environment , vol.79 , Issue.1 , pp. 1-14
    • Tatem, A.J.1    Lewis, H.G.2    Atkinson, P.M.3    Nixon, M.S.4
  • 16
    • 33645710660 scopus 로고    scopus 로고
    • Sub-pixel mapping of rural land cover objects from fine spatial resolution satellite sensor imagery using super-resolution swapping
    • Thornton, M.W., P.M. Atkinson, and D.A. Holland, 2006. Sub-pixel mapping of rural land cover objects from fine spatial resolution satellite sensor imagery using super-resolution swapping, International Journal of Remote Sensing, 27(3):473-491.
    • (2006) International Journal of Remote Sensing , vol.27 , Issue.3 , pp. 473-491
    • Thornton, M.W.1    Atkinson, P.M.2    Holland, D.A.3
  • 18
    • 0036142876 scopus 로고    scopus 로고
    • Land cover mapping at sub-pixel scales using linear optimization techniques
    • Verhoeye, J; and R. De Wulf, 2002. Land cover mapping at sub-pixel scales using linear optimization techniques, Remote Sensing of Environment, 79(1):96-104.
    • (2002) Remote Sensing of Environment , vol.79 , Issue.1 , pp. 96-104
    • Verhoeye, J.1    De Wulf, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.