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Poster Sessions
  • Session 1
  • Session 2
  • Session 3
  • Session 4
  • Session 5
  • Session 6



  • ACRS 1999


    Disasters
    Attempt for Automated Detection of Damaged Buildings Using Aerial HDTV Images


    Edge elements for collapsed buildings ( C-1, 2,3), nondamaged buildings (N-1, 2, 30 and bare ground (G-1) were detected. The intensities of edge elements were calculated by a general gradient filter with a 3x3 pixel window and were allocated a 1 byte value. The relationship between the edge intensity value and the cumulative percentage of relative frequency is shown in figure 4. on observing he data for nondamaged building 9 N-1) and ground ( G_1), it is found that their edge intensity values are almost all distributed in the range of 0-32. for collapsed buildings ( C-1, 2,3 ), it is found that the intensity values are almost all ( 95%) distributed in the range of 0-90.

    Area no.Degree of building damageNumber of pixelsRemarks
    C-1Collapse (rubble)2758A wooden building
    C -2Collapse (rubble )7951A wooden building
    C -3Collapse (rubble )15321A wooden building
    N-1No damage 10000The roof of a gymnasium with dark green color
    N-2No damage14695The roof and wall of a wooden building with white color
    N-3No damage7649A building of complicated shape with brown roofs.
    G-1Ground5400A bare ground
    Table 1 The Characteristics of selected buildings



    Figure 3 The selected buildings and areas



    Figure 4 Relationship between edge intensity value and cumulative percentage of relative frequency



    Figure 5 Relationship between variance value of edge intensity and cumulative percentage of relative frequency

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