Fusion of multi‐aspect radar images via sparse non‐negative matrix factorisation. Issue 25 (1st December 2013)

• Record Type: Journal Article
• Authors: Xu, Ran; Li, Yachao; Xing, Mengdao
• Is Part Of: Electronics letters. Volume 49:Issue 25(2013)
• Page Start: 1635
• Page End: 1637
• Publication Date: 2013-12-01
• Subjects: image fusion -- matrix decomposition -- radar imaging -- sparse matrices; multiaspect radar image fusion -- sparse nonnegative matrix factorisation -- complementary information -- target descriptions -- image quality -- NMF -- sparsity‐enhancing regularisation term -- modified multiplicative update rule -- iterative image fusion -- signal‐to‐ noise ratio; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2013.1757
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : 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.