Flooded Building Segmentation

"Flooded Building Segmentation" refers to the process of accurately segmenting and identifying buildings after a flood disaster using computer vision technology. Its objective is to automatically extract critical information such as the outlines, locations, and extent of damage of affected buildings through image processing and analysis, to support post-disaster assessment, rescue planning, and reconstruction efforts. The application value of this technology lies in enhancing the efficiency of disaster response, reducing human resource input, and providing a scientific basis for decision-making.