U.S. intelligence experts will brief industry on 29 May 2019 on a project to blend data from satellite-based multispectral imaging sensors and visible-light sensors to detect heavy building projects and highway construction from space.
Officials of the U.S. Intelligence Advanced Projects Agency (IARPA) in Washington will sponsor the industry briefings for the Space-based Machine Automated Recognition Technique (SMART) project (IARPA-BAA-19-04) in the Washington, D.C. area. Companies will receive briefing site information after registering for the event.
SMART will rely on geographical information from satellite cameras, and develop multi–spectral and multi–temporal sensor processing to overlay data from infrared and multispectral sensors to make the intelligence analyst's job easier. IARPA is the research arm of the U.S. Director of National Intelligence.
Many space and airborne sensors today can provide imagery suitable for geographical intelligence (GEOINT). SMART will demonstrate that GEOINT gleaned throughdata fusion is greater than the simple sum of GEOINT gleaned from several images analyzed in the absence of other imagery.
The idea is to reduce uncertainties inherent in single-sensor data, and reduce the sheer amount of intelligence imagery data that can overwhelm intelligence analysts by developing tools to help analysts analyze intelligence imagery using Big Data, IARPA officials say.
IARPA Space-based Machine Automated Recognition Technique (SMART)