The precipitation radar (PR) on the Tropical Rainfall Measuring Mission (TRMM) satellite has high vertical resolution, and ground radar (GR) has relatively good capability to detect weak precipitation and relatively good horizontal resolution. The joint utilization of PR and GR will be an important factor in maximizing the benefit to be reaped from both instruments. In this paper, we will blend the PR data and GR reflectivity in Nanjing, China based on image fusion algorithm. Integrating PR and GR mainly includes following steps: spatial-temporal matchup of PR and GR data, image fusion algorithms selection and quality evaluation of the fused image.
An interferometric performance analysis for repeat-pass geosynchronous circular SAR (GEOCSAR) is presented. The
analysis mainly includes the errors caused by the following sources: radar thermal noise, spatial baseline decorrelation,
images’ misregistration and the atmospheric effects. For circular SAR (CSAR) imaging on the geosynchronous orbit, the
altitude is very high, the atmospheric effect is severe and the high sidelobe is existed in the focused GEOCSAR signal,
the characteristics of the various error sources of GEOCSAR interferometry will behave differently from the
conventional interferometric SAR.