Research and application of industrial land survey update mechanism based on deep learning and multi-source GIS data
XUE Yu
YAO Jin-ming
JIANG Huai-long
ZHU Ling-ju
ZHANG Zheng-long
Abstract：The survey and update of industrial land is an important foundation for promoting intensive and economical use of land,as well as an effective guarantee for promoting high-quality development and the development of new productivity.The research is based on the industrial land survey and update mechanism of multi-source GIS data,and comprehensively uses the multi-source GIS data such as POI data,navigation map data,internet POI data and provincial enterprise registration information of the provincial geographic information public service platform to improve and update the attribute information of industrial land in the province.Meanwhile,based on deep learning algorithms,a change discovery mechanism was established by automatically extracting industrial enterprise change patterns from multi temporal images.Applying these achievements to the survey of industrial land in Shandong Province has provided a data foundation for the investigation and research of industrial land throughout the province,and improved the efficiency of updating industrial land surveys.
Keywords：industrial landsurvey updatesdeep learningmulti source GIS
Publication Date：2024-12-28
Pages：4( 85-88 )