Research
Projects of the OSU Mapping & GIS Laboratory
Current Projects
- NASA NSBRI: Enhancement of Spatial Orientation Capability of Astronauts on the Lunar Surface
- NASA LRO: Integration of Lunar Reconnaissance Orbiter Camera (LROC) and Lunar Orbiter Laser Altimeter (LOLA) Data for Near Real-time Precision Lunar Topographic Mapping and Landing Site Assessment
- NGA NURI: A Biologically and Geometrically Inspired Approach for Target Recognition for Multispectral/Hyperspectral and Multiplatform Image Analysis
- Sea Grant 2007: LiDAR and Sub-meter Satellite Imaging Technologies for Great Lakes Shoreline Mapping
- NSF CEO:P: CEO:P--A Data-Intensive Cyberinfrastructure Component for Coastal Forecasting and Change Analysis
- NASA AISR: Integration of Orbital, Descent and Ground Imagery for Topographic Capability Analysis in Mars Landed Missions
- OSU Large Interdisciplinary Grant Program 2004: A New Laboratory of Spatial and Planetary Sensor Networks
- Mars
Exploration Rover 2003 Mission: Surface Image-based
High-precision Near Real-time Landing Site Mapping and Long-range Rover
Localization for MER 2003 Mission
Previous Projects
- MSL 2009 Mission: Incremental Bundle Adjustment Techniques using Networked Overhead and Ground Imagery for Long-range Autonomous Rover Localization in MSL 2009 Mission and Beyond
- NASA Education/Public Outreach Award: Mars Long-range Autonomous Rover Localization Education and Public Outreach
- National Geospatial-Intelligence Agency 2004: Seamless Integration of Geospatial Data from Water to Land
- NSF Digital Government: Digitalization of Coastal Management and Decision Making Supported by Multi-Dimensional Geospatial Information and Analysis
- Mars Rover Localization: Mars Rover Localization Using Descent and Rover Imagery
- Advanced Feature Extraction Method: Investigation of the Methods for Extraction of Image Features using an Integrated Approach
- High Resolution Satellite Imagery: Coastline Mapping and Erosion Monitoring using One-meter Resolution Satellite Imagery
- Automatic Recognition and Location: Civil Infrastructure Object Recognition
- GIS Modeling: Modeling Nutrient-Enriched Sediments Transport during Coastal Erosion Processes
- Target Location:Uncertainty Modeling of Target Locations from Multiplatform and Multisensor Data
- Neural Networks: Geometric Constraints in Image Sequences and Neural Networks for Object Recognition
- 3-D GIS: 3-D Data Structures and Applications in Subsurface Modeling
- Coastal GIS: GIS for Coastal Erosion Monitoring and Management
- VISAT Station: GIS Database Generation using GPS, INS and CCD Technologies
- ImagExpert: Advanced Image Matching System
- Underwater Photogrammetry: Underwater Photogrammetry for ROV
- Navit: Hydrographic Database Management
- Uncertainty: Uncertainty Modeling and Visualization in Vector/Raster GIS
Send your comments to D. Ron Li, e-mail: li.282 at
osu.edu