SYNTHETIC APERTURE RADAR (SAR) IMAGING WITH PHASE RETRIEVAL AND UNCERTAINTY QUANTIFICATION
Abstract
The proposed research is to develop numerical algorithms based in rigorous mathematical analysis that will address some of these challenges. Specifically, these techniques will ensure that phase information is not lost in the recovery process. Further, an empirical Bayesian approach will be adopted to improve the robustness of the image recovery as well as to provide uncertainty quantification. The PIs will collaborate with AFRL/RY scientists to apply the newly developed methods for SAR downstream processing such as coherent change detection and target location.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 20, 2023
- Source ID
- FA95502210411
Entities
People
- Anne Gelb
Organizations
- Air Force Office of Scientific Research
- Board of Trustees of Dartmouth College
- United States Air Force