Space-based Machine Automated Recognition Technique (SMART)
Analysts seek to properly identify, categorize, and monitor building structures for GEOINT, but manual and spatial exploitation methods do not scale with the wave of data (e.g., big data) available from past, nor with expected Big Data from current and future, space-based systems. However, SMART’s purpose is not to rely only on spatial information, but develop capabilities in the multi–spectral and multi–temporal domains for analysts.
SMART seeks Offeror Teams to develop and deliver automated technology to enable a coordinated series of space-based observations for long-term BAS and dynamic monitoring (i.e., change detection) at global, regional, and local scales. This coordinated approach shall enable an improved understanding of anthropogenic activity across diverse geographical regions and environmental conditions as an integrated system within a framework based on spectral, temporal, and spatial fusion. SMART will quantify key technical data fusion issues relating to physics-based processing—dynamic aerosol modeling and correction, calibration, spectral characterization, and geo-registration for achieving harmonization and interoperability of space-based data.
SMART will specifically address the following overarching research questions:
- What accuracy can be achieved for detection and monitoring of anthropogenic processes, i.e., heavy construction activities, by fusing multi-sensor data and machine learning techniques?
- How efficient and effective in the construction life-cycle delineation are SMART innovations achieving optimal accuracy to independently classify construction sequences using time-series data?
Contracting Office Address
Office of the Director of National Intelligence
Intelligence Advanced Research Projects Activity
Washington, DC 20511
United States
Primary Point of Contact
CooperJack Cooper
Program Manager, IARPA
dni-iarpa-baa-19-04@iarpa.gov
Solicitation Status: CLOSED
Broad Agency Announcement
Proposers' Day Date: May 29, 2019
BAA Release Date: February 7, 2020
BAA Question Period: Febuary 7, 2020 - March 6, 2020
Proposal Due Date: May 18, 2020
Additional Information
- Program Description
- IARPA-BAA-19-04 Q&A (round one)
- IARPA-BAA-19-04 Q&A (round two)
- IARPA-BAA-19-04 Q&A (round three)
- IARPA-BAA-19-04 Q&A (round four)
Proposers' Day Briefings