The act of combining image data with additional information from multiple remote sensors is known as remote sensing image data fusion. It focuses on processing multi-source data that are redundant or complementary in space or time according to specific rules to obtain better results than any other. More accurate and richer information from a single data, generating a composite image with new spatial, spectral, and temporal characteristics. This paper proposes an image fusion method using the Rafflesia Optimization Algorithm to adjust parameters adaptively. Compared with the traditional method, it has achieved good results.