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Volumn , Issue , 2016, Pages 199-210

Geostatistical Texture Classification of Tropical Rainforest in Indonesia

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EID: 85141094694     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/9781420069273-23     Document Type: Chapter
Times cited : (15)

References (14)
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    • Buddenbaum, H., Schlerf, M., and Hill, J., 2005. Classification of coniferous tree species and age classes using hyperspectral data and Geostatistical methods. International Journal of Remote Sensing 26(24), pp. 5453-5465.
    • (2005) International Journal of Remote Sensing , vol.26 , Issue.24 , pp. 5453-5465
    • Buddenbaum, H.1    Schlerf, M.2    Hill, J.3
  • 2
    • 0021062412 scopus 로고
    • Multiscale sources of spatial variation in soil. II. A non-brownian fractal model and its application in soil survey
    • Burrough, P. A., 1983. Multiscale sources of spatial variation in soil. II. A non-brownian fractal model and its application in soil survey. Journal of Soil Science 34(3), pp. 599-620.
    • (1983) Journal of Soil Science , vol.34 , Issue.3 , pp. 599-620
    • Burrough, P.A.1
  • 4
    • 17344387949 scopus 로고    scopus 로고
    • Computing geostatistical image texture for remotely sensed data classification
    • Chica-Olmo, M. and Abarca-Hernandez, F., 2000. Computing geostatistical image texture for remotely sensed data classification. Computers and Geosciences 26(4), pp. 373-383.
    • (2000) Computers and Geosciences , vol.26 , Issue.4 , pp. 373-383
    • Chica-Olmo, M.1    Abarca-Hernandez, F.2
  • 8
    • 5444270200 scopus 로고    scopus 로고
    • Variogram-derived measures of textural image classification
    • P. Monesties, Ed., Kluwer Academic Publisher, Dordrecht, The Netherlands
    • Jakomulska, A. and Clarke, K., 2001. Variogram-derived measures of textural image classification. In: P. Monesties, Ed., geoENV III-Geostatistics for Environment Applications, Kluwer Academic Publisher, Dordrecht, The Netherlands, pp. 345-355.
    • (2001) geoENV III-Geostatistics for Environment Applications , pp. 345-355
    • Jakomulska, A.1    Clarke, K.2
  • 9
    • 5444233513 scopus 로고    scopus 로고
    • A comparison of texture measures for the per-field classification of mediterranean land cover
    • Lloyd, C., Berberoglu, S., Curran, P., and Atkinson, P., 2004. A comparison of texture measures for the per-field classification of mediterranean land cover. International Journal of Remote Sensing 25(19), pp. 3943-3965.
    • (2004) International Journal of Remote Sensing , vol.25 , Issue.19 , pp. 3943-3965
    • Lloyd, C.1    Berberoglu, S.2    Curran, P.3    Atkinson, P.4
  • 10
    • 4444230479 scopus 로고    scopus 로고
    • Assessment of the effectiveness of support vector machines for hyperspectral data
    • Pal, M. and Mather, P., 2004. Assessment of the effectiveness of support vector machines for hyperspectral data. Future Generation Computer Systems 20(7), pp. 1215-1225.
    • (2004) Future Generation Computer Systems , vol.20 , Issue.7 , pp. 1215-1225
    • Pal, M.1    Mather, P.2
  • 11
    • 13644256120 scopus 로고    scopus 로고
    • Support vector machines for classification in remote sensing
    • Pal, M. and Mather, P., 2005. Support vector machines for classification in remote sensing. International Journal of Remote Sensing 26(5), pp. 1007-1011.
    • (2005) International Journal of Remote Sensing , vol.26 , Issue.5 , pp. 1007-1011
    • Pal, M.1    Mather, P.2
  • 12
    • 0029777005 scopus 로고    scopus 로고
    • Atmospheric correction of satellite data with haze removal including a haze/clear transition region
    • Richter, R., 1996. Atmospheric correction of satellite data with haze removal including a haze/clear transition region. Computers and Geosciences 22(6), pp. 675-681.
    • (1996) Computers and Geosciences , vol.22 , Issue.6 , pp. 675-681
    • Richter, R.1
  • 13
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • Vapnik, V., 1999. An overview of statistical learning theory. IEEE Transactions on Neural Networks 10(5), pp. 988-999.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.1
  • 14
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    • The use of variograms in remote sensing: II. real digital images
    • Woodcock, C. E., Strahler, A. H., and Jupp, D. L. B., 1988. The use of variograms in remote sensing: II. real digital images. Remote Sensing of Environment 25(3), pp. 349-379.
    • (1988) Remote Sensing of Environment , vol.25 , Issue.3 , pp. 349-379
    • Woodcock, C.E.1    Strahler, A.H.2    Jupp, D.L.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.