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Volumn 6952 LNCS, Issue , 2011, Pages 221-232

Supervised classification of multiple view images in object space for seismic damage assessment

Author keywords

AdaBoost; Classification; Feature; Fusion; Learning; Performance; Point Cloud; Random Trees

Indexed keywords

FEATURE; LEARNING; PERFORMANCE; POINT CLOUD; RANDOM TREE;

EID: 80054043786     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24393-6_19     Document Type: Conference Paper
Times cited : (7)

References (22)
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    • Brostow, G.1    Shotton, J.2    Fauqueur, J.3    Cipolla, R.4
  • 10
    • 80052781213 scopus 로고    scopus 로고
    • Automatic structural seismic damage assessment with airborn e oblique pictometry imagery
    • in press
    • Gerke, M., Kerle, N.: Automatic structural seismic damage assessment with airborn e oblique pictometry imagery. Photogrammetric Engineering & Remote Sensing 77(9) (in press, 2011)
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  • 11
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    • Systematic oblique aerial photography using multi frame cameras
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.