Vision Language Model (VLM) for Synthetic Aperture Radar (SAR) target search and classification from Sensor Independent Complex Data (SICD)
Overview
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SBIR · Phase: BOTH · Topic OSW26BZ06-DV034 · Solicitation 26.BZ
Vision language models (VLMs) combine multimodal (Video, SAR and Infrared Imagery) data/imagery and generative AI models to understand and process video, image, and text. VLM integrates large language models (LLM) with a vision encoder that allows LLM to explain contents of an imagery. The goal of this research is to analyze (detect and classify) synthetic aperture radar (SAR) imagery from sensor independent complex data (SICD) data.
- Category
- R&D
- Industry
- AI & Data
- Technology
- Computer Vision, IoT / Edge
- Target stage
- Needs verification
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- Note
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Eligibility
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SBIR/STTR 은 미국 중소기업만 지원할 수 있습니다(Small Business Act 법정 요건). • 계열사를 포함해 상시 종업원 500명 이하 • 미국 시민 또는 영주권자 1인 이상이 50%를 초과해 직접 소유·지배 • 미국 내 사업장을 두고 주로 미국 내에서 사업을 영위할 것 • 수행책임자(PI)의 주된 근무처가 신청 기업일 것 출처: https://www.sbir.gov/faq/eligibility-requirements
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- 0명 ~ 500명
- Revenue limits
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Location Requirements
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- Primary country
- 🇺🇸 United States
- Also eligible
- None
- Foreign companies
- No
- Local entity
- Required
- Location condition
- 미국 내 사업장을 두고 미국 시민·영주권자가 50%를 초과해 소유한 중소기업만 신청할 수 있습니다(법정 요건).
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- Audit & settlement
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Risk Intelligence
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Source & Provenance
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- Official URL
- https://www.dodsbirsttr.mil/topics-app/
- Application URL
- https://www.dodsbirsttr.mil/topics-app/
- Last fetched
- 2026.10.07
- Human review
- Not reviewed — check the official announcement
- First seen
- 2026.10.07
- Data status
- Auto-collected, not reviewed
- AI enrichment
- Needs verification
- PRIMARY
- HTMLSBIR/STTR 자격요건 (법정)
Fetched 2h ago
- HTML발주 기관 공식 공고
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- · 2h ago — 최초 수집 (a90c2cf9)