Synthetic Aperture Radar (SAR) is a radar imaging technology capable of producing high-resolution images of landscapes. Due to its ability to produce images in all weather and lighting conditions, SAR imaging has advantages in Humanitarian Assistance and Disaster Relief (HADR) missions compared to optical systems. This project aims to improve human interpretability of SAR images, performance of SAR object detection and Automatic Target Recognition (ATR) by leveraging complementary information from related modalities (e.g., EO/IR, LiDAR, MODIS), simulated data, and physics-based models. Project findings and resulting technologies will be shared across the government enterprise to be beneficial in the HADR problem space where multiple partners across services may be able to exploit developed technology.