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Volumn 3, Issue , 2005, Pages 1875-1878

Features based parcel unit extraction from high resolution image

Author keywords

Feature; High resolution remote sensing; Image segmentation; Information extraction; Parcel unit

Indexed keywords

DATA PROCESSING; IMAGE SEGMENTATION; OPTICAL RESOLVING POWER; RADAR TARGET RECOGNITION; REMOTE SENSING;

EID: 33745713296     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2005.1526374     Document Type: Conference Paper
Times cited : (7)

References (11)
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  • 2
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    • What' s wrong with pixels? Some recent developments interfacing remote sensing and GIS
    • T. Blaschke, J. Strobl. What' s wrong with pixels? Some recent developments interfacing remote sensing and GIS.GeoBIT/GIS: 2001, 6: 34-39.
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    • Blaschke, T.1    Strobl, J.2
  • 3
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    • Classification of mediterranean crops with multisensor data: Per-pixel versus per-object statistics and image segmentation
    • A. Lobo, O. Chic and A.Casterad. Classification of Mediterranean crops with multisensor data: per-pixel versus per-object statistics and image segmentation. International. Journal of Remote Sensiing, 1996, 17, 2358-2400
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    • Lobo, A.1    Chic, O.2    Casterad, A.3
  • 4
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    • Per-field classification of land use using the forthcoming very fine resolution satellite sensors:Problems and potential solutions
    • Chichester:Wiley and Son
    • P. Aplin, P. Atkinson Aand P. Curran. Per-field Classification of Land Use Using the Forthcoming Very Fine Resolution Satellite Sensors:Problems and Potential Solutions.In:Advances in Remote Sensing and GIS Analysis.Chichester: Wiley and Son,1999,219-239
    • (1999) Advances in Remote Sensing and GIS Analysis , pp. 219-239
    • Aplin, P.1    Atkinson, P.2    Curran, P.3
  • 5
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    • Accuracy assessment of per-field classification integrating very fine spatial resolution satellite imagery with topographic data
    • C. Mauro, T. Eufemia. Accuracy Assessment of Per-Field Classification Integrating Very Fine Spatial Resolution Satellite Imagery with Topographic Data.Joumal of Geospatial Engineering.2001,3(2):127-134.
    • (2001) Joumal of Geospatial Engineering , vol.3 , Issue.2 , pp. 127-134
    • Mauro, C.1    Eufemia, T.2
  • 6
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    • Object extraction from high-resolution multisensor image data
    • Sophia Antipolis, France, 26-28 January SEE GreCA, Nice
    • O. Hellwich, C. Wiedemann. Object Extraction from High-Resolution Multisensor Image Data. In: 3rd International Conference on Fusion of Earth Data, Sophia Antipolis, France, 26-28 January 2000, SEE GreCA, Nice : 105-115
    • (2000) 3rd International Conference on Fusion of Earth Data , pp. 105-115
    • Hellwich, O.1    Wiedemann, C.2
  • 8
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    • Object-oriented image processing in an integrated GIS remote sensing environment and perspectives for environmental applications
    • CREMERS, A. & GREVE, K. (Hrsg.): Umweltinformation für Planung, Politik und Öffentlichkeit. Metropolis Verlag, Marburg
    • T. Blaschke, S. Lang, E. Lorup, J. Strobl and P. Zeil. Object-Oriented Image Processing in an Integrated GIS Remote Sensing Environment and Perspectives for Environmental Applications.In: CREMERS, A. & GREVE, K. (Hrsg.): Umweltinformation für Planung, Politik und Öffentlichkeit. Environmental Information for Planning, Politics and the Public. Metropolis Verlag, Marburg,2000,2: 555-570
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    • Blaschke, T.1    Lang, S.2    Lorup, E.3    Strobl, J.4    Zeil, P.5
  • 11
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    • Texture classification by multi-model feature integration using Bayesian networks
    • Y. Huang, K. L. Chan, Z. Zhang.Texture classification by multi-model feature integration using Bayesian networks. Pattern Recognition Letters.2003, 24:393-401
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.