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AIP Conference Proceedings
Volumn 1618, Issue , 2014, Pages 285-288
Knowledge-based algorithm for satellite image classification of urban wetlands
Author keywords

image classification; knowledge based algorithm; satellite remote sensing; Urban wetlands
Indexed keywords

EID: 84946489911     PISSN: 0094243X     EISSN: 15517616     Source Type: Conference Proceeding    
DOI: 10.1063/1.4897729     Document Type: Conference Paper
Times cited : (4)
References (8)
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    • Spatial heterogeneity in urban ecosystems: Reconceptualizing land cover and a framework for classification
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    • Cadenasso, M.L.1    Pickett, S.T.2    Schwarz, K.3
  • 5
    • 58649121972 scopus 로고    scopus 로고
    • Urban mapping, accuracy, and image classification: A comparison of multiple approaches in Tsukuba City, Japan
    • R. B. Thapa and Y. Murayama, Urban Mapping, Accuracy, and Image Classification: A Comparison of Multiple Approaches in Tsukuba City, Japan, Applied geography 29 (1), 135-144 (2009).
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  • 6
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    • Detecting wetland change: A rule-based approach using NIW and SPOT-XS Data
    • P. F. Houhoulis and W. K. Michener, Detecting Wetland Change: A Rule-based Approach Using NIW and SPOT-XS Data, Photogrammetric Engineering and Remote Sensing, 66 (2), 205-211 (2000).
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    • Y. Ban, H. Hu, and I. M. Rangel, Fusion of Quickbird MS and RADARSAT SAR Data for Urban Land-cover Mapping: Object-based and Knowledge-based Approach, International Journal of Remote Sensing, 31 (6), 1391-1410 (2010).
    • (2010) International Journal of Remote Sensing , vol.31 , Issue.6 , pp. 1391-1410
    • Ban, Y.1    Hu, H.2    Rangel, I.M.3
  • 8
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    • A case study on the relation between city planning and urban growth using remote sensing and spatial metrics
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.