The work aims to summarize the current research progress of the spectral reflectance reconstruction tech-nology, so as to provide a scientific research foundation for the broader application and higher accuracy of the spectral reflectance reconstruction technology. The related methods of the existing spectral reflectance reconstruction technology were introduced, the advantages and disadvantages of the related methods as well as applicable application scenarios were discussed and the improvement of the related methods and the future development trends were proposed. The reconstruction accuracy of the direct reconstruction method was relatively low and the interpolation reconstruction was only suitable for small sample data sets. Although the accuracy based on artificial intelligence technology was high, it was also limited in practical applications. Therefore, the combination reconstruction method was recommended to combine various recon-struction methods in a certain way and related correction items were added to perform spectral reconstruction, thus solving the defects of the other three methods, ensuring the accuracy of spectral reflectance reconstruction, and meeting the needs of real practical applications. The combination form solves the problems of noise and intelligence encountered in the process of reconstructing the spectral reflectance and the combination method can solve the defects of each single method by complementing each other.