An Image Fusion-Based Multi-Target Discrimination Method in Minimum Resolution Cell for Ground-Based Synthetic Aperture Radar

Abstract

This paper proposes a method to distinguish multiple targets in the minimum resolution cell of ground-based synthetic aperture radar. The proposed method fuses ground-based synthetic aperture radar imaging with optical imaging captured from the same viewing angle, which enables the matching of target points between the two types of imaging. By utilizing the optical images, multiple targets within the minimum resolution unit of ground-based synthetic aperture radar can be distinguished with improved visibility. The method also allows for the extraction of radar information such as the azimuth angle for each target point.