GNSS-BSAR 是一种利用导航卫星作为发射机的双基地 SAR (BSAR)系统,具有系统代价低等特点,但是其图像分辨率差、信噪比低。结合我国现有的北斗导航卫星系统,该文提出了一种 BSAR 多角度观测与数据处理方法,实现了对目标区域的多角度观测,共获取了26种几何配置下的图像,并提出一种感兴趣区域融合方法生成了多融合图像。获得了较高质量的图像,证明了多角度融合是一种扩展 GNSS-BSAR 遥感应用的有效途径。
Bistatic Synthetic Aperture Radar (BSAR) based on the Global Navigation Service System (GNSS-BSAR) 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.