Tropical cyclone fullness (TCF) is a dimensionless metric that integrates both the inner- and outer- core scales of a typhoon to characterize the storm wind structures, which shows particular direction significance for operational typhoon forecasting. Spaceborne microwave sensors, which are capable of directly observing typhoon ocean surface winds regardless of weather conditions, offer a new technical approach for the accurate extraction of TCF.Taking super typhoon Mawar (2023) as example, this study proposed a TCF retrieve method by collecting spaceborne Synthetic Aperture Radar (SAR), scatterometers, and radiometers data. Subsequently, we make a comparison between model results and typhoon best-track data. Results show that multi-source spaceborne microwave sensor data has good applicability in TCF estimation. The root mean square error (RMSE) and correlation coefficient between satellite-retrieved and best-track data are 0.07 and correlation coefficient 0.82, respectively. Although the typhoon intensity estimates from spaceborne scatterometers are significantly lower than the reference data, the estimates for the radius of maximum wind (RMW) and the radius of 17 m/s winds (R17) are accurate. Specifically, ASCAT-B measured storm RMW and R17 are 17.9 km and 35.2 km, and ASCAT-C are 18.5 km and 43.8 km for ASCAT-C, respectively. Despite working different frequency bands and having varying spatial resolutions, this study demonstrates that multisource microwave sensors are highly suitable for TCF extraction.