Multiangle Bistatic SAR Imaging and Fusion Based on BeiDou-2 Navigation Satellite System

Bistatic Synthetic Aperture Radar (BSAR) based on the Global Navigation Service System (GNSSBSAR) uses navigation satellites as radar transmitters, which are low in cost. However, GNSS-BSAR images have poor resolution and low Signal-to-Noise Ratios (SNR). In this paper, a multiangle observation and data processing strategy are presented based on BeiDou-2 navigation satellite imagery, from which twenty-six BSAR images in different configurations are obtained. A region-based fusion algorithm using region of interest segmentation is proposed, and a high-quality fusion image is obtained. The results reveal that the multiangle imaging method can extend the applications of GNSS-BSAR.