Abstract
Rapidly and accurately obtaining collapsed building information for earthquake-stricken areas can help to effectively guide the implementation of the emergency response and can reduce disaster losses and casualties. This work is focused on rapid building earthquake damage detection in urban areas using a single post-earthquake polarimetric synthetic aperture radar (PolSAR) image. In an earthquake-stricken area, the buildings include both damaged buildings and undamaged buildings. The undamaged buildings are made up of both parallel buildings, whose array direction is parallel to the flight direction, and oriented buildings, whose array direction is not parallel to the flight direction. The damaged buildings after an earthquake are made up of completely collapsed buildings and residual damaged parallel walls and oriented walls of the damaged buildings. Therefore, we divide the buildings in earthquake-stricken areas into five kinds: intact parallel buildings, damaged parallel walls, collapsed buildings, intact oriented buildings, and damaged oriented walls. The two new polarimetric feature parameters of λ_H and H_λ are proposed to recognize the five kinds of buildings, and the Wishart supervised classification method is employed to further improve the extraction accuracy of the damaged buildings and undamaged buildings.
Highlights
An earthquake is one of the most dangerous natural disasters for human beings, and often results in heavy casualties and great property loss [1,2,3]
The two groups of samples for the intact parallel buildings and the damaged parallel walls were selected from the experimental data, which are marked in Figure 3 with No 1–4 red rectangle boxes
We found that there were three kinds of confusion in the buildings of the earthquake-stricken area, i.e., the confusion between intact parallel buildings and damaged parallel walls, the confusion between intact oriented buildings and collapsed buildings, and the confusion between intact oriented buildings and damaged oriented walls
Summary
An earthquake is one of the most dangerous natural disasters for human beings, and often results in heavy casualties and great property loss [1,2,3]. Rapid damage assessment can help to reduce the casualties and disaster losses [6]. Building damage assessment is one of the most important parts of earthquake damage assessment, because most of the casualties are usually caused by building collapse [7]. The timeliness and efficiency of disaster information acquisition is very important. With the advantages of speed and extensiveness, is playing a more and more important role in disaster investigation and assessment [8]. The precision of the damage assessment can be improved by using PolSAR data for disaster information acquisition
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