Interesting technologies include synthetic aperture radar, hyperspectral imaging, electro-optical imaging, infrared imaging, and radio frequency acquisition.
WASHINGTON – The Pentagon's technology division, the Defense Innovation Unit, is soliciting offers from US companies that operate commercial remote sensing satellites and can offer both image and data analysis services.
On January 13, the DIU published a call for proposals from U.S. operators of small satellite constellations capable of observing the earth's surface during the day, night, and adverse atmospheric conditions. The project, entitled "Peace Time Indications and Warning", is designed to complement military remote sensing capabilities with commercial products.
The remote sensing technology of interest includes synthetic aperture radar (SAR), hyperspectral imaging, electro-optical imaging, infrared imaging, and radio frequency (RF).
Proposals that DIU calls "Solution Briefs" are due on January 26th.
A DIU spokesman said in a statement Space News The Department of Defense has a "critical need for improved, extensive situational awareness that is met by cheaper day-night all-weather imaging satellites that are able to fill gaps in spaceborne reconnaissance."
DoD would use low-cost, commercial radar image satellites to B. in peacetime to receive information and warnings early and to analyze life patterns, said the spokesman. "Warfighters and decision-makers benefit from timely and accurate warnings that increase situational awareness and improve decision-making."
DIU will consider pitch from commercial satellite manufacturers offering hardware for the development of a remote sensing constellation and from providers of end-to-end remote sensing services. The call also asked for advanced analysis software to help develop machine learning algorithms for object recognition. DoD would like a demonstration of reduced latency that downloads data and images directly to the tactical ground terminal for field data processing.
"The size and cost of each satellite technology should offer the greatest flexibility for launch and exchange," the call said. "The resulting images must be in a format that is compatible with inclusion in a cloud-based computer architecture for later machine learning."
Images and data will be collected during an 18-month pilot program and made available for use as training records to support the development of algorithms for artificial intelligence.