The remote sensing data processing lab is focused on hyperspectral remote sensing image analysis, high-spatial-resolution remote sensing image interpretation, SAR data processing, LiDAR technology, environment remote sensing and industrial application. Hyperspectral remote sensing image analysis Hyperspectral Remote Sensing (HRS) technology, collects...
Expected goal: Facing the needs of various industries for 3D geographic information, aiming at the potential advantages and processing difficulties of multi-line array aeronautics, aerospace images, large-format multi-overlap aeronautical digital images, laser scanning data, and China's high-resolution stereo mapping satellites, accurate...
Expected goal: to study the theoretical foundation, application foundation and application methods of the new generation of geospatial information systems, including system architecture, data model, data structure, data processing and spatial analysis, spatial information sharing, interoperability and service technologies and standards,...
Expected goal: Achieve innovative results and cultivate high-quality professionals in basic research and applied research directions such as 3S integration, mobile space information acquisition, GIS-T, industrial measurement, etc., realize the combination of "production, learning and research", and launch the LBS middleware...
On December 22, 2021, a technical exchange meeting was held in Beijing for the "Integrated...
Read More
Professor Wolfgang Kainz, a visiting professor at LIESMARS, won the 2020 Chinese Government Friendship Award....
Read MoreThe International GeoInformatics Summer School (IGSS) has been organized by...
2020 International Graduate Workshop on GeoInformaticsIGWG 2020 OnlineDecember 16-18, 2020...
The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS) is a global research center in the field of geo-spatial information science. LIESMARS is the main geo-spatial research center in Wuhan University, which itself is ranked No.1 in the Shanghai University Ranking in the field of remote sensing.
