“In the field of spectral unmixing, researchers have proposed the KGESU algorithm, which effectively improves the reliability and unmixing accuracy of endmember selection through knowledge graph embedding and prior knowledge introduction. The experimental results show that the algorithm has better performance in real image unmixing, opening up new directions for spectral unmixing research.”