1. Geospatial Data Production NSF Workshop on GeoSpatial and GeoTemporal Informatics Jan 8-9, 2009 J. Chris McGlone SAIC, Inc 14668 Lee Rd Chantilly, VA 20151 mcglonej@saic.com 703-676-9228

2. Energy | Environment | National Security | Health | Critical Infrastructure What is solved (90%)? Photogrammetry: determination of image world relationship – Bundle adjustment, direct georeferencing, camera self-calibration Synthesis of photogrammetry, computer vision, computer graphics – Geometric and metric properties – Stochastic characteristics – Feature extraction Photogrammetry for the non-technical user: photogrammetry (e.g., Photosynth) Semi-automated construction of 3d urban models

3. Energy | Environment | National Security | Health | Critical Infrastructure Texture-mapped lidar building models, w/ road centerlines

4. Energy | Environment | National Security | Health | Critical Infrastructure Visual simulation database examples

5. Energy | Environment | National Security | Health | Critical Infrastructure What is almost solved? Lidar exploitation (40%) Data fusion (based on geometry) (70%) Image sequence registration (50%) Semi-automatic feature extraction (40%) Building interior generation from plans or scans (50%) Interaction with 3D worlds (30%) – Navigation – Query – 3D – Immersive worlds (e.g, Second Life)

6. Energy | Environment | National Security | Health | Critical Infrastructure What has failed (so far)? Automatic cartographic feature extraction – Still scene/image specific – Low productivity due to training, parameter fiddling, or editing requirements

7. Energy | Environment | National Security | Health | Critical Infrastructure What is missing? Database maintenance models – Updates: scheduled, need based – Reasoning on status Integration of crowd sourcing into standard production flows – Verification – Characterization: accuracy, completeness, timeliness Simultaneous interaction with multiple datasources, SDIs – Understanding differences (timeliness, accuracy, coverage, design goals, etc) – Automatically select best source for current purpose Non-geometric feature attribution (e.g., function, materials, description) Data fusion based on semantics Consumer understanding of data quality issues New business models for data acquisition, processing, distribution

8. Energy | Environment | National Security | Health | Critical Infrastructure What is next? Improved realism and interactions for 3D models s Crowd-sourced photogrammetry (distributed acquisition) 3D modeling as consumer video camera application Video game boxes as photogrammetry/modeling/geospatial data platforms Mapping from image sequences Continuous mapping instead of discrete updates Better sensors, new sensing modalities (e.g., lidar + video)