Image Recognition and Spatialization of Buildings in Zigui County Based on U-Net Network
ZHANG Ping
LI Yin
LYU Xiao
ZHANG Yimei
TEMU Qile
Abstract：Based on the demand to update the earthquake emergency foundation database,a spatialization method of building data was proposed to quickly obtain the basic information data of buildings within the study area.The building information was extracted from the remote sensing images by using the U-Net full convolutional neural network model,and the GIS technology was used to change the extracted building data into spatial grid data,so as to obtain a spatialized grid database of buildings.Taking Zigui County as the study area,the feasibility of the method was verified.The results obtained can better reflect the actual distribution of buildings,laying a foundation for improving the precision and accuracy of rapid assessment of earthquake disaster losses and providing more effective data support for earthquake emergencies.
Keywords：U-NetRemote sensing imageBuilding spatializationEarthquake disasterRapid assessment
Publication Date：2024-12-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 33-39 )