← Department of War (DoD)

Vision Language Model (VLM) for Synthetic Aperture Radar (SAR) target search and classification from Sensor Independent Complex Data (SICD)

In short: 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.

Excerpt from the official topic description. Read the full solicitation before deciding to apply.

AgencyDepartment of War (DoD) · OSD
ProgramSBIR
PhaseBOTH
Topic numberOSW26BZ06-DV034
Solicitation26.BZ
Release dateSep 2, 2026
Open dateSep 23, 2026
Close dateOct 21, 2026
Status on SBIR.govOpen
DSIP statusOpen
CMMC level (DSIP)Level 2 (Self)

View official solicitation   SBIR.gov topic page

Full description (from SBIR.gov)

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.

Possibly related past awards

Matched by keyword overlap within the same agency from the SBIR.gov public award dataset. Not an official linkage.

Technology areas: Artificial intelligence & machine learning · Sensors & sensing

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