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Volumn 2, Issue 3, 2009, Pages 219-236

The improvement of an object-oriented classification using multi-temporal MODIS EVI satellite data

Author keywords

Enhanced vegetation index (evi); Moderate resolution imaging spectral radiometer (modis); Object based image classification; Phenology

Indexed keywords


EID: 80051710883     PISSN: 17538947     EISSN: 17538955     Source Type: Journal    
DOI: 10.1080/17538940902818311     Document Type: Article
Times cited : (14)

References (43)
  • 3
    • 0031277523 scopus 로고    scopus 로고
    • Comparison of fuzzy c-means classification, linear mixture modeling and MLC probabilities as tools for unmixing coarse pixels
    • Bastin, L., 1997. Comparison of fuzzy c-means classification, linear mixture modeling and MLC probabilities as tools for unmixing coarse pixels. International Journal of Remote Sensing, 18:3629–3648.
    • (1997) International Journal of Remote Sensing , vol.18 , pp. 3629-3648
    • Bastin, L.1
  • 4
    • 0035382401 scopus 로고    scopus 로고
    • What's wrong with pixels? Some recent development interfacing remote sensing and GIS
    • Blaschke, T., and Strobl, J., 2001. What's wrong with pixels? Some recent development interfacing remote sensing and GIS. GeoBIT/GIS, 6:12–17.
    • (2001) GeoBIT/GIS , vol.6 , pp. 12-17
    • Blaschke, T.1    Strobl, J.2
  • 6
    • 0030619127 scopus 로고    scopus 로고
    • Evaluating the uncertainty of area estimates derived from fuzzy land-cover classification
    • Canters, F., 1997. Evaluating the uncertainty of area estimates derived from fuzzy land-cover classification. Photogrammetric Engineering and Remote Sensing, 63:403–414.
    • (1997) Photogrammetric Engineering and Remote Sensing , vol.63 , pp. 403-414
    • Canters, F.1
  • 7
    • 39749111391 scopus 로고    scopus 로고
    • Contribution of multispectral and multitemporal information from MODIS images to land cover classification
    • Carrão, H., Gonçalves, P., and Caetano, M., 2008. Contribution of multispectral and multitemporal information from MODIS images to land cover classification. Remote Sensing of Environment, 112:980–997.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 980-997
    • Carrão, H.1    Gonçalves, P.2    Caetano, M.3
  • 8
    • 0043267583 scopus 로고    scopus 로고
    • An evaluation of per-parcel land cover mapping using maximum likelihood class probabilities
    • Dean, A.M., and Smith, G.M., 2003. An evaluation of per-parcel land cover mapping using maximum likelihood class probabilities. International Journal of Remote Sensing, 24:2905–2920.
    • (2003) International Journal of Remote Sensing , vol.24 , pp. 2905-2920
    • Dean, A.M.1    Smith, G.M.2
  • 10
    • 0026613560 scopus 로고
    • How accurately do image classifiers estimate area?
    • Dymond, J.R., 1992. How accurately do image classifiers estimate area?. International Journal of Remote Sensing., 13:1735–1742.
    • (1992) International Journal of Remote Sensing , vol.13 , pp. 1735-1742
    • Dymond, J.R.1
  • 11
    • 0036213079 scopus 로고    scopus 로고
    • Status of land cover classification accuracy assessment
    • Foody, G.M., 2002. Status of land cover classification accuracy assessment. Remote sensing of Environment, 80:185–201.
    • (2002) Remote sensing of Environment , vol.80 , pp. 185-201
    • Foody, G.M.1
  • 12
    • 3042661357 scopus 로고    scopus 로고
    • Thematic map comparison: evaluating the statistical significance of differences in classification accuracy
    • Foody, G.M., 2004. Thematic map comparison:evaluating the statistical significance of differences in classification accuracy. Photogrammetric Engineering & Remote Sensing, 70:627–633.
    • (2004) Photogrammetric Engineering & Remote Sensing , vol.70 , pp. 627-633
    • Foody, G.M.1
  • 14
    • 33745756516 scopus 로고    scopus 로고
    • The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM
    • Foody, G.M., and Mathur, A., 2006. The use of small training sets containing mixed pixels for accurate hard image classification:Training on mixed spectral responses for classification by a SVM. Remote Sensing of Environment, 103:179–189.
    • (2006) Remote Sensing of Environment , vol.103 , pp. 179-189
    • Foody, G.M.1    Mathur, A.2
  • 15
    • 33750084387 scopus 로고    scopus 로고
    • Comparison of pixel-based and object-oriented image classification approaches-a case study in a coal fire area, Wuda, Inner Mongolia, China
    • Gao, Y., Mas, J. F., Maathuis, B. H. P., Zhang, X. M., and Van Dijk, P. M., 2006. Comparison of pixel-based and object-oriented image classification approaches-a case study in a coal fire area, Wuda, Inner Mongolia, China. International Journal of Remote Sensing, 27:4039–4051.
    • (2006) International Journal of Remote Sensing , vol.27 , pp. 4039-4051
    • Gao, Y.1    Mas, J.F.2    Maathuis, B.H.P.3    Zhang, X.M.4    Van Dijk, P.M.5
  • 18
    • 39749138705 scopus 로고    scopus 로고
    • Estimating proportional change in forest cover as a continuous variable from multi-year MODIS data
    • Hayes, D.J., Cohen, W.B., Sader, S.A., and Irwin, D.E., 2008. Estimating proportional change in forest cover as a continuous variable from multi-year MODIS data. Remote Sensing of Environment, 112:735–749.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 735-749
    • Hayes, D.J.1    Cohen, W.B.2    Sader, S.A.3    Irwin, D.E.4
  • 20
    • 0035382410 scopus 로고    scopus 로고
    • Detecting buildings and roads from IKONOS data using additional elevation information
    • Hofmann, P., 2001a. Detecting buildings and roads from IKONOS data using additional elevation information. In:GeoBIT/GIS, 6:28–33.
    • (2001) GeoBIT/GIS , vol.6 , pp. 28-33
    • Hofmann, P.1
  • 24
    • 37249089673 scopus 로고    scopus 로고
    • Object-based changed detection using correlation image analysis and image segmentation
    • Im, J., Jensen, J.R., and Tullis, J.A., 2008. Object-based changed detection using correlation image analysis and image segmentation. International Journal of Remote Sensing, 29:399–423.
    • (2008) International Journal of Remote Sensing , vol.29 , pp. 399-423
    • Im, J.1    Jensen, J.R.2    Tullis, J.A.3
  • 25
    • 85024184854 scopus 로고    scopus 로고
    • Integrated Land and Water Information System (ILWIS), 2005. International Institute for Geo-Information Science and Earth Observation (ITC). The Netherlands
    • (2005)
  • 29
    • 34547127388 scopus 로고    scopus 로고
    • Active forest fire monitoring in Uttaranchal state, India using multi-temporal DMSP-OLS and MODIS data
    • Kiran Chand, T.R., 2007. Active forest fire monitoring in Uttaranchal state, India using multi-temporal DMSP-OLS and MODIS data. International Journal of Remote Sensing, 28:2123–2132.
    • (2007) International Journal of Remote Sensing , vol.28 , pp. 2123-2132
    • Kiran Chand, T.R.1
  • 35
    • 34547118108 scopus 로고    scopus 로고
    • Estimating ice breakup dates on Eurasian lakes using water temperature trends and threshold surface temperatures derived from MODIS data
    • Nonaka, T., Matsunaga, T., and Hayano, A., 2007. Estimating ice breakup dates on Eurasian lakes using water temperature trends and threshold surface temperatures derived from MODIS data. International Journal of Remote Sensing, 28:2163–2179.
    • (2007) International Journal of Remote Sensing , vol.28 , pp. 2163-2179
    • Nonaka, T.1    Matsunaga, T.2    Hayano, A.3
  • 37
    • 0033586922 scopus 로고    scopus 로고
    • Quality assessment of image classification algorithms for land-cover mapping: a review and proposal for a cost-based approach
    • Smits, P.C., Dellepiane, S.G., and Schowengerdt, R.A., 1999. Quality assessment of image classification algorithms for land-cover mapping:a review and proposal for a cost-based approach. International Journal of Remote Sensing, 20:1461–1486.
    • (1999) International Journal of Remote Sensing , vol.20 , pp. 1461-1486
    • Smits, P.C.1    Dellepiane, S.G.2    Schowengerdt, R.A.3
  • 38
    • 0031255580 scopus 로고    scopus 로고
    • Selecting and interpreting measures of thematic classification accuracy
    • Stehman, S.V., 1997. Selecting and interpreting measures of thematic classification accuracy. Remote sensing of Environment, 62:77–89.
    • (1997) Remote sensing of Environment , vol.62 , pp. 77-89
    • Stehman, S.V.1
  • 39
    • 0034161563 scopus 로고    scopus 로고
    • Integrating contextual information with per-pixel classification for improved land cover classification
    • Stuckens, J., Coppin, P.R., and Bauer, M.E., 2000. Integrating contextual information with per-pixel classification for improved land cover classification. Remote Sensing Environment, 71:282–298.
    • (2000) Remote Sensing Environment , vol.71 , pp. 282-298
    • Stuckens, J.1    Coppin, P.R.2    Bauer, M.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.