Presented By

K.ALHAF MALIK

PreFinal Year

Syed Ammal Engg College

The Ministry of Land, Infrastructure and Transport services play important role when disaster occur.

So at that time appropriate crisis management is required.

In this paper presenting about matters of using remote sensing technologies.

Then the applicability of image processing in order to detect damage from images is presented.

There are restrictions considered in using remote sensing technologies they are

Lead Time & Weather time

High Resolution Artificial Satellites

Aircraft & Helicopter

Resolution• 0.2 to 0.5m – all types of damage are detected

• 1 to 2m- small damage like horizontal and vertical difference

• 10m- most of damage cannot be detected

Liner-type damage

Collapsed Bridges and Slope failure on embankment

Areal-type damage

Liquefaction and slope failure on mountains and all wide spread damages

In detecting damaged facilities based on the remote sensing images, one of factors how accurately and rapidly damaged facilities are detected is the applicability if image processing The two main classifications of damage are

Trail To Detect Damage By Image Processing

Easiness and rapidness are important factors when you select image processing to detect damage because it is necessary to grasp disaster situation as soon as possible.

Horizontal difference at a viaduct

In the case of liner facilities, damage appears as blurs. To grasp this blurs

1) edge extraction,

2) texture analysis, and

3) edge enhancement are applied in this trial.

Slope failure (Areal-type damage)

The change of color at the surface gives us the information to detect and specify the spread of slope failure. To extract damage, in this trial

1) edge extraction, 2) unsupervised classification, texture analysis, 3) edge enhancement 4) Fourier transformation are applied.

In addition, operations between images, image overlay and principal component analysis are also applied.

Method to designate particular facilities.

Method to mask some parts

Method to zoom in a target point

For areal-type damage various image processing tools are employed to detect damaged area. In this way, it is possible to find areal-type damage. However, for liner-type damage such as horizontal difference, it is comparatively difficult to detect damage. In this case, extraction by human should be applied and in order to help staff to extract, it is effective to overlay other data to focus on specific area/facility to check.