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Volumn 70, Issue 2, 1999, Pages 138-152

A neural network method for mixture estimation for vegetation mapping

Author keywords

[No Author keywords available]

Indexed keywords

HABITAT; THEMATIC MAPPING;

EID: 0033231469     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(99)00027-9     Document Type: Article
Times cited : (117)

References (37)
  • 1
    • 0028980239 scopus 로고
    • Classification of multispectral images based on fractions of endmembers: Application of land-cover change in the Brazilian Amazon
    • Adams J.B., Sabol D.E., Kapos V.et al. Classification of multispectral images based on fractions of endmembers. application of land-cover change in the Brazilian Amazon Remote Sens. Environ. 52:1995;137-154.
    • (1995) Remote Sens. Environ. , vol.52 , pp. 137-154
    • Adams, J.B.1    Sabol, D.E.2    Kapos, V.3
  • 3
    • 0001395470 scopus 로고
    • Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander I site
    • Adams J.B., Smith M.O., Johnson P.E. Spectral mixture modeling. a new analysis of rock and soil types at the Viking Lander I site J. Geophys. Res. 91(B8):1986;8098-8112.
    • (1986) J. Geophys. Res. , vol.91 , Issue.B8 , pp. 8098-8112
    • Adams, J.B.1    Smith, M.O.2    Johnson, P.E.3
  • 4
    • 0031277463 scopus 로고    scopus 로고
    • Distributed learning, recognition, and prediction by ART and ARTMAP neural networks
    • Carpenter G.A. Distributed learning, recognition, and prediction by ART and ARTMAP neural networks. Neural Networks. 10:1997;1473-1494.
    • (1997) Neural Networks , vol.10 , pp. 1473-1494
    • Carpenter, G.A.1
  • 5
    • 0031098234 scopus 로고    scopus 로고
    • ART neural networks for remote sensing: Vegetation classification from Landsat TM and terrain data
    • Carpenter G.A., Gjaja M.N., Gopal S., Woodcock C.E. ART neural networks for remote sensing. vegetation classification from Landsat TM and terrain data IEEE Trans. Geosci. Remote Sens. 35:1997;308-325.
    • (1997) IEEE Trans. Geosci. Remote Sens. , vol.35 , pp. 308-325
    • Carpenter, G.A.1    Gjaja, M.N.2    Gopal, S.3    Woodcock, C.E.4
  • 6
    • 0026923589 scopus 로고
    • Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
    • Carpenter G.A., Grossberg S., Markuzon N., Reynolds J.H., Rosen D.B. Fuzzy ARTMAP. a neural network architecture for incremental supervised learning of analog multidimensional maps IEEE Trans. Neural Networks. 3:1992;698-713.
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 698-713
    • Carpenter, G.A.1    Grossberg, S.2    Markuzon, N.3    Reynolds, J.H.4    Rosen, D.B.5
  • 7
    • 0025889915 scopus 로고
    • Artmap: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network
    • Carpenter G.A., Grossberg S., Reynolds J.H. Artmap. supervised real-time learning and classification of nonstationary data by a self-organizing neural network Neural Networks. 4:1991;565-588.
    • (1991) Neural Networks , vol.4 , pp. 565-588
    • Carpenter, G.A.1    Grossberg, S.2    Reynolds, J.H.3
  • 8
    • 0024855654 scopus 로고
    • Topographic normalization of Landsat Thematic Mapper digital imagery
    • Civco D.L. Topographic normalization of Landsat Thematic Mapper digital imagery. Photogramm. Eng. Remote Sens. 55:1989;1303-1309.
    • (1989) Photogramm. Eng. Remote Sens. , vol.55 , pp. 1303-1309
    • Civco, D.L.1
  • 9
    • 0025626316 scopus 로고
    • An evaluation of fuzzy membership of landcover classes in the suburban zone
    • Fisher P., Pathirana S. An evaluation of fuzzy membership of landcover classes in the suburban zone. Remote Sens. Environ. 34:1990;121-132.
    • (1990) Remote Sens. Environ. , vol.34 , pp. 121-132
    • Fisher, P.1    Pathirana, S.2
  • 10
    • 0029750642 scopus 로고    scopus 로고
    • Relating the land-cover composition of mixed pixels to artificial neural network classification output
    • Foody G.M. Relating the land-cover composition of mixed pixels to artificial neural network classification output. Photogramm. Eng. Remote. Sens. 62:1996;491-499.
    • (1996) Photogramm. Eng. Remote. Sens. , vol.62 , pp. 491-499
    • Foody, G.M.1
  • 11
    • 0027007203 scopus 로고
    • Derivation and applications of probabilistic measures of class membership from maximum likelihood classification
    • Foody G.M., Campbell N.A., Trodd N.M., Wood T.F. Derivation and applications of probabilistic measures of class membership from maximum likelihood classification. Photogramm. Eng. Remote. Sens. 58(9):1992;1335-1341.
    • (1992) Photogramm. Eng. Remote. Sens. , vol.58 , Issue.9 , pp. 1335-1341
    • Foody, G.M.1    Campbell, N.A.2    Trodd, N.M.3    Wood, T.F.4
  • 12
    • 0031105570 scopus 로고    scopus 로고
    • Non-linear mixture modeling without end-members using an artificial neural network
    • Foody G.M., Lucas R.M., Curran P.J., Honzak M. Non-linear mixture modeling without end-members using an artificial neural network. Int. J. Remote Sens. 18:1997;937-954.
    • (1997) Int. J. Remote Sens. , vol.18 , pp. 937-954
    • Foody, G.M.1    Lucas, R.M.2    Curran, P.J.3    Honzak, M.4
  • 13
    • 0004294010 scopus 로고
    • Ph.D. dissertation, University of California, Santa Barbara, 303 pp.
    • Frew, J. E. (1990), The image processing workbench, Ph.D. dissertation, University of California, Santa Barbara, 303 pp.
    • (1990) The Image Processing Workbench
    • Frew, J.E.1
  • 14
    • 0032058464 scopus 로고    scopus 로고
    • Topographic normalization of Landsat TM images of forest based on subpixel Sun-canopy- sensor geometry
    • Gu D., Gillespie A. Topographic normalization of Landsat TM images of forest based on subpixel Sun-canopy- sensor geometry. Remote Sens. Environ. 64:1998;166-175.
    • (1998) Remote Sens. Environ. , vol.64 , pp. 166-175
    • Gu, D.1    Gillespie, A.2
  • 15
    • 0019229282 scopus 로고
    • The topographic effect on spectral response from nadir-pointing sensors
    • Holben B.N., Justice C.O. The topographic effect on spectral response from nadir-pointing sensors. Photogramm. Eng. Remote Sens. 46:1980;1191-1200.
    • (1980) Photogramm. Eng. Remote Sens. , vol.46 , pp. 1191-1200
    • Holben, B.N.1    Justice, C.O.2
  • 16
    • 0019728162 scopus 로고
    • Application of digital terrain data to quantify and reduce the topographic effect on Landsat data
    • Justice C.O., Wharton S.W., Holben B.N. Application of digital terrain data to quantify and reduce the topographic effect on Landsat data. Int. J. Remote Sens. 2:1981;213-230.
    • (1981) Int. J. Remote Sens. , vol.2 , pp. 213-230
    • Justice, C.O.1    Wharton, S.W.2    Holben, B.N.3
  • 17
    • 0022783817 scopus 로고
    • Non-lambertian effects on remote sensing of surface reflectance and vegetation index
    • Lee T.Y., Kaufman Y.J. Non-lambertian effects on remote sensing of surface reflectance and vegetation index. IEEE Trans. Geosci. Remote Sens. 24:1986;699-708.
    • (1986) IEEE Trans. Geosci. Remote Sens. , vol.24 , pp. 699-708
    • Lee, T.Y.1    Kaufman, Y.J.2
  • 18
    • 0026836865 scopus 로고
    • Geometric-optical bidirectional reflectance modeling of discrete crown vegetation canopy: Effect of crown shape and mutual shadowing
    • Li X., Strahler A.H. Geometric-optical bidirectional reflectance modeling of discrete crown vegetation canopy. effect of crown shape and mutual shadowing IEEE Trans. Geosci. Remote Sens. GE-30:1992;276-292.
    • (1992) IEEE Trans. Geosci. Remote Sens. , vol.30 , pp. 276-292
    • Li, X.1    Strahler, A.H.2
  • 19
    • 0019229330 scopus 로고
    • Resolving the percentage of component terrains within single resolution elements
    • Marsh S.E., Switzer P., Kowalik W.S., Lyon R.J.P. Resolving the percentage of component terrains within single resolution elements. Photogramm. Eng. Remote Sens. 46:1980;1079-1086.
    • (1980) Photogramm. Eng. Remote Sens. , vol.46 , pp. 1079-1086
    • Marsh, S.E.1    Switzer, P.2    Kowalik, W.S.3    Lyon, R.J.P.4
  • 20
    • 0030300901 scopus 로고    scopus 로고
    • Sensitivity of neural networks to subpixel land-cover mixtures in coarse-resolution satellite data
    • Moody A., Gopal S., Strahler A.H. Sensitivity of neural networks to subpixel land-cover mixtures in coarse-resolution satellite data. Remote Sens. Environ. 58:1996;329-343.
    • (1996) Remote Sens. Environ. , vol.58 , pp. 329-343
    • Moody, A.1    Gopal, S.2    Strahler, A.H.3
  • 21
    • 0002630876 scopus 로고
    • Symposium: The need and the means for cross-validation. 1. Problem and designs of cross-validation
    • Mosier, C. I. (1951), Symposium: the need and the means for cross-validation. 1. Problem and designs of cross-validation. Ed. Psychol. Measure. 11:5-11.
    • (1951) Ed. Psychol. Measure. , vol.11 , pp. 5-11
    • Mosier, C.I.1
  • 22
    • 0242488488 scopus 로고
    • Classifying unresolved objects from simulated space data
    • Environmental Research Institute of Michigan, Ann Arbor
    • Nalepka, R. F., and Hyde, P. D. (1972), Classifying unresolved objects from simulated space data. In Proc. of the 8th Int. Symp. on Remote Sens. Environ., Environmental Research Institute of Michigan, Ann Arbor, pp. 935-949.
    • (1972) In Proc. of the 8th Int. Symp. on Remote Sens. Environ. , pp. 935-949
    • Nalepka, R.F.1    Hyde, P.D.2
  • 23
    • 0027061190 scopus 로고
    • Alleviating topographic influences on land-cover classifications for mobility and combat modeling
    • Naugle B.I., Lashlee J.D. Alleviating topographic influences on land-cover classifications for mobility and combat modeling. Photogramm. Eng. Remote Sens. 58:1992;1217-1221.
    • (1992) Photogramm. Eng. Remote Sens. , vol.58 , pp. 1217-1221
    • Naugle, B.I.1    Lashlee, J.D.2
  • 24
    • 0024856774 scopus 로고
    • Evaluation of topographic effects in remotely sensed data
    • Proy C., Tanré D., Deschamps P.Y. Evaluation of topographic effects in remotely sensed data. Remote Sens. Environ. 30:1989;21-32.
    • (1989) Remote Sens. Environ. , vol.30 , pp. 21-32
    • Proy, C.1    Tanré, D.2    Deschamps, P.Y.3
  • 25
    • 0029667294 scopus 로고    scopus 로고
    • Nonlinear spectral mixing in desert vegetation
    • Ray T.W., Murray B.C. Nonlinear spectral mixing in desert vegetation. Remote Sens. Environ. 55:1996;59-64.
    • (1996) Remote Sens. Environ. , vol.55 , pp. 59-64
    • Ray, T.W.1    Murray, B.C.2
  • 27
    • 0027338792 scopus 로고
    • Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data
    • Roberts D.A., Smith M.O., Adams J.B. Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data. Remote Sens. Environ. 44:1993;255-269.
    • (1993) Remote Sens. Environ. , vol.44 , pp. 255-269
    • Roberts, D.A.1    Smith, M.O.2    Adams, J.B.3
  • 28
    • 38249031219 scopus 로고
    • Some implications of fuzzy set theory applied to geographic databases
    • Robinson V.B. Some implications of fuzzy set theory applied to geographic databases. Comput. Environ. Urban Syst. 12:1988;89-98.
    • (1988) Comput. Environ. Urban Syst. , vol.12 , pp. 89-98
    • Robinson, V.B.1
  • 30
    • 0025571552 scopus 로고
    • Vegetation in deserts: I. A regional measure of abundance from multispectral images
    • Smith M.O., Ustin S.L., Adams J.R., Gillespie A.R. Vegetation in deserts. I. A regional measure of abundance from multispectral images Remote Sens. Environ. 31:1990;1-26.
    • (1990) Remote Sens. Environ. , vol.31 , pp. 1-26
    • Smith, M.O.1    Ustin, S.L.2    Adams, J.R.3    Gillespie, A.R.4
  • 31
    • 0025573170 scopus 로고
    • Using thematic mapper imagery to examine forest understory
    • Stenback J.M., Congalton R.G. Using thematic mapper imagery to examine forest understory. Photogramm. Eng. Remote Sens. 56:1990;1285-1290.
    • (1990) Photogramm. Eng. Remote Sens. , vol.56 , pp. 1285-1290
    • Stenback, J.M.1    Congalton, R.G.2
  • 32
    • 0019727997 scopus 로고
    • Stratification of natural vegetation for forest and rangeland inventory using Landsat digital imagery and collateral data
    • Strahler A.H. Stratification of natural vegetation for forest and rangeland inventory using Landsat digital imagery and collateral data. Int. J. Remote Sens. 2:1981;15-41.
    • (1981) Int. J. Remote Sens. , vol.2 , pp. 15-41
    • Strahler, A.H.1
  • 33
    • 0030720901 scopus 로고    scopus 로고
    • Vegetation canopy reflectance modeling - Recent developments and remote sensing perspectives
    • Strahler A.N. Vegetation canopy reflectance modeling - recent developments and remote sensing perspectives. Remote Sens. Rev. 15:1997;179-194.
    • (1997) Remote Sens. Rev. , vol.15 , pp. 179-194
    • Strahler, A.N.1
  • 35
    • 0025631853 scopus 로고
    • A physical model of the bidirectional reflectance of vegetation canopies: 1. Theory
    • Verstraete M.M., Pinty B., Dickinson R.E. A physical model of the bidirectional reflectance of vegetation canopies. 1. Theory J. Geophys. Res. 95:1990;11,755-11,765.
    • (1990) J. Geophys. Res. , vol.95 , pp. 11
    • Verstraete, M.M.1    Pinty, B.2    Dickinson, R.E.3
  • 36
    • 0028669116 scopus 로고
    • Mapping forest vegetation using Landsat TM imagery and a canopy reflectance model
    • Woodcock C.E., Collins J., Gopal S.et al. Mapping forest vegetation using Landsat TM imagery and a canopy reflectance model. Remote Sens. Environ. 50:1994;240-254.
    • (1994) Remote Sens. Environ. , vol.50 , pp. 240-254
    • Woodcock, C.E.1    Collins, J.2    Gopal, S.3
  • 37
    • 0030469734 scopus 로고    scopus 로고
    • Evaluation of the potential for providing secondary labels in vegetation maps
    • Woodcock C.E., Gopal S., Albert W. Evaluation of the potential for providing secondary labels in vegetation maps. Photogramm. Eng. Remote Sens. 62:1996;393-399.
    • (1996) Photogramm. Eng. Remote Sens. , vol.62 , pp. 393-399
    • Woodcock, C.E.1    Gopal, S.2    Albert, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.