On April
12, the Intelligence Advanced Research Projects Activity (IARPA) posted a draft
funding opportunity for the Space-based
Machine Automated Recognition Technique (SMART) program. Responses and
comments are due no later than May 10.
This BAA
(IARPA-BAA-19-04) is for the Space-based Machine Automated Recognition
Technique (SMART) program. IARPA is seeking innovative solutions for automated
broad-area search, monitoring, and analysis of anthropogenic activities within
a framework based on data fusion of spectral and temporal space-based imagery.
SMART is envisioned to be a 4-year effort.
The SMART program’s primary objective is to develop tools and techniques
to automatically and dynamically execute broad-area search (BAS) over diverse
environments to detect construction and other anthropogenic activities (e.g.,
heavy building and highway construction) using time-series spectral imagery.
The geospatial intelligence (GEOINT) community requires technologies that
support end-to-end flow and provenance of the 5V Big data dimensions (i.e.,
volume, velocity, veracity, value, and variety) enabling decision makers the
ability to understand the context and evaluate courses of action based on the
veracity and value of data.
Over the coming decades, U.S. and foreign governments, and the commercial sector will continue to pioneer the use of space-based remote sensing to characterize, understand, and predict variability and trends on Earth’s surface for both research and applications. To date, the volume of GEOINT continues to grow, while analysts struggle with the volume, variety, and velocity of space-based data to support local, regional, and national decision-making.
Full information is available here.
Source: FedBizOpps
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