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

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.