ICR, INC. — Department of Defense SBIR Phase I: OSD221-002
ICR, INC. — SBIR Phase I award from Department of Defense.
Phase I SBIR feasibility signal
- Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from Department of Defense in a technical approach.
- Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
- Obligated amount $99,998. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code OSD221-002 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $99,998
- Agency
- Department of Defense · National Geospatial-Intelligence Agency
- Program / Phase
- SBIR · Phase I
- Topic
- OSD221-002
- Solicitation
- 22.1
- NAICS
- —
- Place of performance
- CO
- Period
- 2022-09-15 → 2023-06-14
Description
Correctly labeled data is essential for training AI/ML-based automatic target recognition (ATR). The training process is all the more complicated in synthetic aperture radar (SAR) images because of their unique phenomenology, such as orientation-sensitive target signatures, layover, cross-range smearing, and radio frequency interference. New automated technology must reduce the cost and accelerate the timeline of manual labeling. We propose Auto Label SAR (AL-SAR) by extending our DELPHI Active Learning (AL) framework for single-target SAR image classification to a framework for multi-target classification. In Phase I, we will leverage open-source Python and state-of-the-art AL with Core-set selection. Our Phase 1 feasibility study will simulate human-in-the-loop labeling using publicly available or government provided pre-labeled training data. Resources will be focused on critical technical questions and experiments to illuminate and prioritize key enabling capabilities for AL-SAR development during Phases II-III. AL-SAR will be an automated, cost-effective, and adaptable target labeling tool which could also be used to label targets in other mission areas with different data sources.