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Volumn , Issue , 2012, Pages 133-138

An assessment of the effectiveness of segmentation methods on classification performance

Author keywords

Accuracy assessment; Nearest neighbor; Object based classification; Segmentation

Indexed keywords

ENVIRONMENTAL ENGINEERING; MEMBERSHIP FUNCTIONS; NATURAL RESOURCES; PIXELS; SEMANTICS;

EID: 84975763750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (11)
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    • The importance of scale in objectbased mapping of vegetation parameters with hyperspectral imagery
    • Addink, E. A., De Jong S. M., Pebesma E. J. (2007), "The importance of scale in objectbased mapping of vegetation parameters with hyperspectral imagery". Photogrammetric Engineering & Remote Sensing, Vol. 73(8):905-912.
    • (2007) Photogrammetric Engineering & Remote Sensing , vol.73 , Issue.8 , pp. 905-912
    • Addink, E.A.1    De Jong, S.M.2    Pebesma, E.J.3
  • 2
    • 0001812168 scopus 로고    scopus 로고
    • Multiresolution segmentation - An optimization approach for high quality multi-scale image segmentation
    • Strobl, J., Blaschke, T., Griesebner, G. eds., Wichmann Verlag, Karlsruhe
    • Baatz, M., Schäpe, A. (2000), "Multiresolution segmentation - An optimization approach for high quality multi-scale image segmentation". In Strobl, J., Blaschke, T., Griesebner, G. (eds.). Angewandte Geographische Informations-Verarbeitung XII. Wichmann Verlag, Karlsruhe, pp. 12-23.
    • (2000) Angewandte Geographische Informations-verarbeitung XII , pp. 12-23
    • Baatz, M.1    Schäpe, A.2
  • 4
    • 77955683153 scopus 로고    scopus 로고
    • Parameter selection for segmentation in object-oriented classification of remotely sensed imagery
    • Bo, S., Han, X. (2010), "Parameter selection for segmentation in object-oriented classification of remotely sensed imagery". International Conference on Intelligent Computation Technology and Automation, Vol. 2(5):876-879.
    • (2010) International Conference on Intelligent Computation Technology and Automation , vol.2 , Issue.5 , pp. 876-879
    • Bo, S.1    Han, X.2
  • 6
    • 84975722939 scopus 로고    scopus 로고
    • ECognition developer 8.7 user guide
    • München, Germany
    • eCognition. (2011), "eCognition Developer 8.7 User Guide". Trimble Documentation, München, Germany, 258p.
    • (2011) Trimble Documentation
    • ECognition1
  • 10
    • 79952070569 scopus 로고    scopus 로고
    • Per-pixel versus object-based classification of urban land cover extraction using high spatial resolution imagery
    • Myint, S. W., Gober, P., Brazel, A., Grossman-Clarke, S., Weng, Q. (2011), "Per-pixel versus object-based classification of urban land cover extraction using high spatial resolution imagery". Remote Sensing of Environment, Vol. 115(5):1145-1161.
    • (2011) Remote Sensing of Environment , vol.115 , Issue.5 , pp. 1145-1161
    • Myint, S.W.1    Gober, P.2    Brazel, A.3    Grossman-Clarke, S.4    Weng, Q.5
  • 11
    • 0242292075 scopus 로고    scopus 로고
    • A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas
    • Shackelford, A. K., Davis, C. H. (2003), "A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas". IEEE Transactions on Geoscience and Remote Sensing, Vol. 41(10):2354-2364.
    • (2003) IEEE Transactions on Geoscience and Remote Sensing , vol.41 , Issue.10 , pp. 2354-2364
    • Shackelford, A.K.1    Davis, C.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.