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Volumn 83, Issue , 2013, Pages 40-49

Classifying a high resolution image of an urban area using super-object information

Author keywords

Classification; Contextual; High resolution; Land cover; Scale; Segmentation; Urban

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE SEGMENTATION; PIXELS;

EID: 84879561232     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.05.008     Document Type: Article
Times cited : (134)

References (37)
  • 3
    • 38049148967 scopus 로고    scopus 로고
    • New contextual approaches using image segmentation for object-based classification
    • Kluwer Academic Publishers, Dordrecht, F. De Meer, S. de Jong (Eds.)
    • Blaschke T., Burnett C., Pekkarinen A. New contextual approaches using image segmentation for object-based classification. Remote Sensing Image Analysis: Including the Spatial Domain 2004, 211-236. Kluwer Academic Publishers, Dordrecht. F. De Meer, S. de Jong (Eds.).
    • (2004) Remote Sensing Image Analysis: Including the Spatial Domain , pp. 211-236
    • Blaschke, T.1    Burnett, C.2    Pekkarinen, A.3
  • 4
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L. Random forests. Machine Learning 2001, 45(1):5-32.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 5
    • 33748331356 scopus 로고    scopus 로고
    • A multilevel context-based system for classification of very high spatial resolution images
    • Bruzzone L., Carlin L. A multilevel context-based system for classification of very high spatial resolution images. IEEE Transactions on Geoscience and Remote Sensing 2006, 44(9):2587-2600.
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.9 , pp. 2587-2600
    • Bruzzone, L.1    Carlin, L.2
  • 6
    • 0142003038 scopus 로고    scopus 로고
    • A multi-scale segmentation/object relationship modelling methodology for landscape analysis
    • Burnett C., Blaschke T. A multi-scale segmentation/object relationship modelling methodology for landscape analysis. Ecological Modelling 2003, 168(3):233-249.
    • (2003) Ecological Modelling , vol.168 , Issue.3 , pp. 233-249
    • Burnett, C.1    Blaschke, T.2
  • 8
    • 36849070518 scopus 로고    scopus 로고
    • Definiens Professional 5 Reference Book
    • Definiens. Definiens AG, München, Germany.
    • Definiens, 2006. Definiens Professional 5 Reference Book. Definiens AG, München, Germany.
    • (2006)
  • 9
    • 0043196816 scopus 로고    scopus 로고
    • Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification
    • Dorren L., Maier B., Seijmonsbergen A. Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification. Forest Ecology and Management 2003, 183(1-3):31-46.
    • (2003) Forest Ecology and Management , vol.183 , Issue.1-3 , pp. 31-46
    • Dorren, L.1    Maier, B.2    Seijmonsbergen, A.3
  • 10
    • 77951189897 scopus 로고    scopus 로고
    • ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data
    • Dragut L., Tiede D., Levick S.R. ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data. International Journal of Geographical Information Science 2010, 24(6):859-871.
    • (2010) International Journal of Geographical Information Science , vol.24 , Issue.6 , pp. 859-871
    • Dragut, L.1    Tiede, D.2    Levick, S.R.3
  • 14
    • 81855189271 scopus 로고    scopus 로고
    • Object-based image analysis: strengths, weaknesses, opportunities and threats (SWOT)
    • International Archives of Photogrammetry, Remote Sensing and Spatial, Information Sciences XXXVI-4 (C42).
    • Hay, G., Castilla, G., 2006. Object-based image analysis: strengths, weaknesses, opportunities and threats (SWOT). International Archives of Photogrammetry, Remote Sensing and Spatial, Information Sciences XXXVI-4 (C42).
    • (2006)
    • Hay, G.1    Castilla, G.2
  • 17
    • 29544440639 scopus 로고    scopus 로고
    • Automated building extraction from high-resolution satellite imagery in urban areas using structural, contextual, and spectral information
    • Jin X., Davis C. Automated building extraction from high-resolution satellite imagery in urban areas using structural, contextual, and spectral information. EURASIP Journal on Applied Signal Processing 2005, 14:2196-2206.
    • (2005) EURASIP Journal on Applied Signal Processing , vol.14 , pp. 2196-2206
    • Jin, X.1    Davis, C.2
  • 18
    • 79957819255 scopus 로고    scopus 로고
    • Unsupervised image segmentation evaluation and refinement using a multi-scale approach
    • Johnson B., Xie Z. Unsupervised image segmentation evaluation and refinement using a multi-scale approach. ISPRS Journal of Photogrammetry and Remote Sensing 2011, 66(4):473-483.
    • (2011) ISPRS Journal of Photogrammetry and Remote Sensing , vol.66 , Issue.4 , pp. 473-483
    • Johnson, B.1    Xie, Z.2
  • 19
    • 84979944094 scopus 로고    scopus 로고
    • Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery
    • Springer, Heidelberg, Berlin, New York, T. Blaschke, S. Lang, G. Hay (Eds.)
    • Kim M., Madden M., Warner T. Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery. Object-based Image Analysis; Spatial Concepts for Knowledge-driven Remote Sensing Applications 2008, 291-307. Springer, Heidelberg, Berlin, New York. T. Blaschke, S. Lang, G. Hay (Eds.).
    • (2008) Object-based Image Analysis; Spatial Concepts for Knowledge-driven Remote Sensing Applications , pp. 291-307
    • Kim, M.1    Madden, M.2    Warner, T.3
  • 20
    • 68649112896 scopus 로고    scopus 로고
    • Forest type mapping using object-specific texture measures from multispectral Ikonos imagery: segmentation quality and image classification issues
    • Kim M., Madden M., Warner T. Forest type mapping using object-specific texture measures from multispectral Ikonos imagery: segmentation quality and image classification issues. Photogrammetric Engineering and Remote Sensing 2009, 75(7):819-830.
    • (2009) Photogrammetric Engineering and Remote Sensing , vol.75 , Issue.7 , pp. 819-830
    • Kim, M.1    Madden, M.2    Warner, T.3
  • 21
    • 77649138136 scopus 로고    scopus 로고
    • GEOBIA vegetation mapping in Great Smoky Mountains National park with spectral and non-spectral ancillary information
    • Kim M., Madden M., Xu B. GEOBIA vegetation mapping in Great Smoky Mountains National park with spectral and non-spectral ancillary information. Photogrammetric Engineering and Remote Sensing 2010, 76(2):137-149.
    • (2010) Photogrammetric Engineering and Remote Sensing , vol.76 , Issue.2 , pp. 137-149
    • Kim, M.1    Madden, M.2    Xu, B.3
  • 22
    • 79957608758 scopus 로고    scopus 로고
    • Multi-scale GEOBIA with very high spatial resolution digital aerial imagery: scale, texture and image objects
    • Kim M., Warner T., Madden M., Atkinson D. Multi-scale GEOBIA with very high spatial resolution digital aerial imagery: scale, texture and image objects. International Journal of Remote Sensing 2011, 32(10):2825-2850.
    • (2011) International Journal of Remote Sensing , vol.32 , Issue.10 , pp. 2825-2850
    • Kim, M.1    Warner, T.2    Madden, M.3    Atkinson, D.4
  • 24
    • 31344453556 scopus 로고    scopus 로고
    • Mapping invasive plants using hyperspectral imagery and breiman cutler classifications (RandomForest)
    • Lawrence R., Wood S., Sheley R. Mapping invasive plants using hyperspectral imagery and breiman cutler classifications (RandomForest). Remote Sensing of Environment 2006, 100(3):356-362.
    • (2006) Remote Sensing of Environment , vol.100 , Issue.3 , pp. 356-362
    • Lawrence, R.1    Wood, S.2    Sheley, R.3
  • 25
    • 79955383550 scopus 로고    scopus 로고
    • Assessing object-based classification: advantages and limitations
    • Liu D., Xia F. Assessing object-based classification: advantages and limitations. Remote Sensing Letters 2010, 1(4):187-194.
    • (2010) Remote Sensing Letters , vol.1 , Issue.4 , pp. 187-194
    • Liu, D.1    Xia, F.2
  • 27
    • 79952070569 scopus 로고    scopus 로고
    • Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery
    • Myint S., Gober P., Brazel A., Grossman-Clarke S., Weng Q. Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery. Remote Sensing of Environment 2011, 115(5):1145-1161.
    • (2011) Remote Sensing of Environment , vol.115 , Issue.5 , pp. 1145-1161
    • Myint, S.1    Gober, P.2    Brazel, A.3    Grossman-Clarke, S.4    Weng, Q.5
  • 29
    • 13344278660 scopus 로고    scopus 로고
    • Random forest classifier for remote sensing classification
    • Pal M. Random forest classifier for remote sensing classification. International Journal of Remote Sensing 2005, 26:217-222.
    • (2005) International Journal of Remote Sensing , vol.26 , pp. 217-222
    • Pal, M.1
  • 32
  • 33
    • 41549153831 scopus 로고    scopus 로고
    • Object-based land-cover classification for the Phoenix metropolitan area: optimization vs. transportability
    • Walker J., Blaschke T. Object-based land-cover classification for the Phoenix metropolitan area: optimization vs. transportability. International Journal of Remote Sensing 2008, 29(7):2021-2040.
    • (2008) International Journal of Remote Sensing , vol.29 , Issue.7 , pp. 2021-2040
    • Walker, J.1    Blaschke, T.2
  • 34
    • 56449083046 scopus 로고    scopus 로고
    • Assessing urban forest canopy cover using airborne or satellite imagery
    • Walton J., Nowak D., Greenfield E. Assessing urban forest canopy cover using airborne or satellite imagery. Arboriculture and Urban Forestry 2008, 34(6):334-340.
    • (2008) Arboriculture and Urban Forestry , vol.34 , Issue.6 , pp. 334-340
    • Walton, J.1    Nowak, D.2    Greenfield, E.3
  • 36
    • 77449104877 scopus 로고    scopus 로고
    • Development of an object-based framework for classifying and inventorying human-dominated forest ecosystems
    • Zhou W., Troy A. Development of an object-based framework for classifying and inventorying human-dominated forest ecosystems. International Journal of Remote Sensing 2009, 30(23):6343-6360.
    • (2009) International Journal of Remote Sensing , vol.30 , Issue.23 , pp. 6343-6360
    • Zhou, W.1    Troy, A.2
  • 37
    • 47649116598 scopus 로고    scopus 로고
    • Extraction of impervious surface areas from high spatial resolution imagery by multiple agent segmentation and classification
    • Zhou Y., Wang Y. Extraction of impervious surface areas from high spatial resolution imagery by multiple agent segmentation and classification. Photogrammetric Engineering and Remote Sensing 2008, 74(7):857-868.
    • (2008) Photogrammetric Engineering and Remote Sensing , vol.74 , Issue.7 , pp. 857-868
    • Zhou, Y.1    Wang, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.