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Volumn 37, Issue , 2008, Pages 369-372

Detection of damaged buildings after an earthquake using artificial Neural Network algorithm

Author keywords

Building; Detection; Earthquakes; High resolution; Neural; Remote sensing

Indexed keywords

BUILDINGS; DAMAGE DETECTION; DISASTER PREVENTION; DISASTERS; EARTHQUAKES; ERROR DETECTION; NEURAL NETWORKS; REMOTE SENSING;

EID: 84891656484     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (7)
  • 1
    • 17344387949 scopus 로고    scopus 로고
    • Computing geostatistical image texture For remotely sensed data classification
    • Chica-Omlo M. and Abarca-Hernandez F., "Computing geostatistical image texture For remotely sensed data classification", Computers & Geosciences 26, 373-383, 2000
    • (2000) Computers & Geosciences , vol.26 , pp. 373-383
    • Chica-Omlo, M.1    Abarca-Hernandez, F.2
  • 5
    • 4143148548 scopus 로고    scopus 로고
    • Wavelets for spatial feature discrimination: Comparisons with fractal spatial autocorrelation, and spatial co-occurrence approaches
    • July
    • Soe Win Myint, Nina S.-N. Lam, and John M. Tyler, "Wavelets for Spatial Feature Discrimination: Comparisons with Fractal Spatial Autocorrelation, and Spatial Co-Occurrence Approaches", Photogrammetric Engineering & Remote Sensing, Vol. 70, No. 7, pp. 803-812, July 2004
    • (2004) Photogrammetric Engineering & Remote Sensing , vol.70 , Issue.7 , pp. 803-812
    • Win Myint, S.1    Nina Lam, S.-N.2    Tyler, J.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.