Based on the characteristic values of multi-gray co-occurrence matrix,namely correlation,contrast,contrast sub-matrix and entropy,this paper carried out joint sea fog remote sensing identification,and proposed a high accuracy algorithm for daytime sea fog identification over the Yellow Sea and Bohai Sea area of China.By using visible,near infrared and infrared data of FY-4A,the second generation of geostationary meteorological satellite,the algorithm was used to identify sea fog over the Yellow Sea and Bohai Sea area of China.The visibility data measured by meteorological stations along the Yellow Sea and Bohai Sea during 2019-2020 and CALIOP satellite data products were used to verify the accuracy of remote sensing recognition products.Results show that:the sea fog recognition algorithm is applied to FY-4A data,recognition results and the measured visibility site data accuracy of inspection,the sea fog recognition average shooting (POD) was 92%,the missed detection rate (FAR) was 27%,and the absolute success index (CSI) was 69%.The algorithm can realize the dynamic monitoring of sea fog and provide better data support for maritime traffic and other fields.