Comparison of subsampling strategies for UAV-mounted subsurface radar imaging systems

Abstract

This paper compares two subsampling strategies for UAV-mounted subsurface radar imaging systems, which feature non-uniform acquisitions that have an impact on the quality of the resulting radar image. The first method is based on selecting those samples that meet four conditions related to the UAV flight speed and stability. In contrast, the second relies on dividing the observation domain in a grid of cells, and selecting only a maximum of a given number of samples within each cell. The impact of both techniques on the image quality is assessed by means of measurements.