Synthetic aperture radar (SAR) is an all weather, day or night imaging method the continues to generate interest in a variety of applications. The approach uses microwaves to illuminate a ground patch of interest, and the echo reflections of the microwaves are measured with an antenna receiver. An inversion of the data is then computed to yield an approximation of the details in the scene.
In this general audience talk, we will begin with a thorough background introduction on the topic. We will then discuss some of our work designed specifically to deal with the challenges posed in SAR, which include the use of image pixel phase estimation and joint sparsity models.