The sea surface temperature (SST) is an important parameter of marine environment. The remote sensing technology is an effective means to retrieve the sea surface temperature. In this paper, we studied the retrieval of sea surface temperature by using the brightness temperature data obtained from the Advanced Microwave Scanning Radiometer Earth Observing System (AMSR-E), the infrared data from the Moderate resolution Imaging Spectroradiometer (MODIS) and in situ SST data from the Global Ocean Data Assimilation Experiment in the Northern Indian Ocean. The original brightness temperature data of the polarization channels from AMSR-E L2A and the original MODIS L1B thermal infrared data were preprocessed firstly, and then the retrieval model of AMSR-E SST was built on the multi parameters linear regression, based on the correlation among the AMSR-E brightness temperature and the in situ sea surface temperature. The MODIS SST was retrieved by Multichannel algorithm. Finally, we obtained the SST from the AMSR E brightness temperature and MODIS SST by an AMSR-E and MODIS SST retrieval model developed by the multi parameters linear regression. This retrieval model mainly relied on the AMSR E brightness temperature while making the MODIS surface temperature subsidiary. Compared with the in situ SST, the root mean square error of retrieved results is 0.323 97 ℃.