Damaged road extraction from post-seismic remote sensing images based on gis and object-oriented method

Earthquake is one of the most destructive natural disasters. Lushan Ya'an earthquake occurred in April 20, 2013 caused a wide range of road damage. The earthquake made Baoxing country become an island and rescue was difficult to carry out. The secondary disaster caused by earthquakes is one of the main causes of road damage. According to the present situation of damaged road extraction, a new method of remote sensing image extraction based on object-oriented and GIS spatial analysis is proposed in this paper. The method can extract damaged road caused by secondary disasters in a short period of time, then identify the location and extent of damage to roads as quickly as possible. Through a series of experiments, This method can quickly extract the location and range of the damage caused by the secondary disasters, and get good result. The overall extraction accuracy is 95%. The method can greatly reduce the time of post-earthquake imagery interpretation, improve the efficiency of earthquake emergency and provide decision support for earthquake emergency response eventually.