Fusion of multi-aspect radar images via sparse non-negative matrix factorisation

By fusing the radar images of a certain target obtained from multiple aspects, complementary information can be made full use of for better target descriptions and higher image quality. A fusion scheme based on non-negative matrix factorisation (NMF) is proposed. A sparsity-enhancing regularisation term is introduced into the original NMF, and the corresponding modified multiplicative update rule is derived to iteratively fuse the images. The composite image generally demonstrates enhanced feature characteristics and improved signal-to-noise ratio. The experimental results prove the validity and superiority of the proposal.