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Volumn , Issue , 2010, Pages 75-82

Airborne analysis and assessment of urban traffic scenes from LiDAR data - Theory and experiments

Author keywords

[No Author keywords available]

Indexed keywords

AIRBORNE LASER SCANNING; AIRBORNE PLATFORMS; LIDAR DATA; MOTION ARTIFACT; MOVING OBJECTS; MOVING VEHICLES; REFERENCE DATA; URBAN TRAFFIC; VEHICLE DETECTION; VEHICLE MOTION;

EID: 77956529759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2010.5543901     Document Type: Conference Paper
Times cited : (5)

References (12)
  • 2
    • 57049156154 scopus 로고    scopus 로고
    • Traffic extraction and characterisation from optical remote sensing data
    • S. Hinz, D. Lenhart, and J. Leitloff, Traffic extraction and characterisation from optical remote sensing data. The Photogrammetric Record, 23(124): 424-440, 2008.
    • (2008) The Photogrammetric Record , vol.23 , Issue.124 , pp. 424-440
    • Hinz, S.1    Lenhart, D.2    Leitloff, J.3
  • 3
    • 34250213638 scopus 로고    scopus 로고
    • Vehicle detection from high-resolution satellite imagery using morphological shared-weight neural networks
    • X. Jin, and C.H. Davis, Vehicle detection from high-resolution satellite imagery using morphological shared-weight neural networks. Image and Vision Computing, 25(9): 1422-1431, 2007.
    • (2007) Image and Vision Computing , vol.25 , Issue.9 , pp. 1422-1431
    • Jin, X.1    Davis, C.H.2
  • 6
    • 33751410551 scopus 로고    scopus 로고
    • Extracting dynamic spatial data from airborne imaging sensors to support traffic flow estimation.
    • C.K. Toth, and D. Grejner-Brzezinska, Extracting dynamic spatial data from airborne imaging sensors to support traffic flow estimation. ISPRS Journal of Photogrammetry and Remote Sensing, 61(3-4): 137-148, 2006.
    • (2006) ISPRS Journal of Photogrammetry and Remote Sensing , vol.61 , Issue.3-4 , pp. 137-148
    • Toth, C.K.1    Grejner-Brzezinska, D.2
  • 8
    • 70350165067 scopus 로고    scopus 로고
    • Object extraction based on 3D-segmentation of LiDAR data by combining mean shift and normalized cuts: Two examples from urban areas 2009
    • W.Yao, S. Hinz, and U. Stilla, 2009. Object extraction based on 3D-segmentation of LiDAR data by combining mean shift and normalized cuts: two examples from urban areas, 2009 IEEE/ISPRS Urban Remote Sensing Joint event: URBAN 2009-URS 2009.
    • (2009) IEEE/ISPRS Urban Remote Sensing Joint Event: URBAN 2009-URS
    • Yao, W.1    Hinz, S.2    Stilla, U.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.