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Earthquake Engineering Research - HKU Libraries - The University ...

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kindergarten, library, and dwellings were established at the other area where these official<br />

buildings located before the disaster, because all these official buildings were collapsed for the<br />

earthquake. <strong>The</strong> reconstruction of original area where these facilities were located before the<br />

disaster is still on the way. Continuous monitoring on both temporary town and reconstruction<br />

area is conducted using five CCD camera sets. Observations were started from April 19, 2001.<br />

<strong>The</strong> location and the images of CCD camera systems will be shown in Fig.4.<br />

160<br />

CCD1 CCD2 CCD3 CCD4<br />

Fig. 4 Monitoring at Chungliao, Taiwan<br />

CCD5<br />

3. IMAGE PROCESSING<br />

3.1 Processing procedure<br />

<strong>The</strong>se images are useful to understand present status and sequential images are useful to<br />

understand a physical disaster process by intuition. However, amount of data is huge and the<br />

development of automated data processing method is necessary to get the numerical data on the<br />

physical recovery. And to make a comparative study, the standardized procedure is<br />

indispensable. <strong>The</strong> method to get the time series of the physical recovery from a series of<br />

observed images will be discussed in this chapter. We will define the amount of buildings as the<br />

physical recovery degree from disaster.<br />

<strong>The</strong> observed data contains the noises such as 1) moving objects such as cars, people, 2) the<br />

shadow of buildings from the viewpoint, and weather such as rain. So removing these noises is<br />

the first step for image processing. In this paper, the basic procedure to get physical recovery<br />

degree using observed data is discussed. On the other hand, moving objects means physical<br />

recovery. This is a very important element to understand recovery process.<br />

3.2 Removing the noises<br />

3.2.1 Removing moving objects<br />

<strong>The</strong> method to get averaged image of observed images was used to remove moving objects

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