This research addresses the rising critical need for automated conflation of vector/raster data as more and more high resolution data are collected for updates/improvement of graphic products employed in various mission areas of the Army and other user communities. Our conflation methodology… More

Detection, tracking, and identification of ballistic missiles can benefit significantly from improved correlation of the tracks and detections. Track and detections are coming from the optical sensors and the radar sensors for further fusion of data into the single picture of the situation. However,… More

Present methods of vector-raster conflation require extensive human intervention and labor, which is an expensive effort better spent in cognitive, decision-making tasks. Integration or alignment of vector and raster geospatial data may have inaccurate and contradictory geo-references, or not have… More

Detection, tracking, and identification of ballistic missiles can benefit significantly from improved correlation of the tracks and detections. Tracks and detections are coming from the optical sensors and the radar sensors for further fusion of data into the single picture of the situation.… More

Observing target objects from an airborne sensor is an important component of the overall process in assessing the performance of the BMD system. MDA is interested in investigating the use of"Image Chips"or partial frames in correlation of multiple IR sensors in conditions where… More

The BMDS relies on the current and future sensor systems that include space-based, sea-based, ground-based, and airborne sensor systems for tracking, discrimination and fusion. MDA is interested in innovative algorithm concepts for long-range real-time discrimination of ballistic missile threats… More