“The classification of sea conditions is of great significance in ship navigation safety and real-time route planning. The research progress in SAR sea condition monitoring is introduced. The research team has established an ordered sea condition classification system combining adaptive space frequency fusion and kernel mean embedding, providing a solution to the problem of reduced classification accuracy caused by coherent speckle noise interference and large intra class differences, and laying the foundation for the construction of an intelligent navigation safety guarantee system.”