SAR and Visible Image Fusion based on Local non-negative Matriz Factorization

摘要：

Although some of the traditional methods of image fusion such as wavelet transform fusion and Laplacian pyramid fusion have good effect on most visible images, it is not suitable for SAR image fusion. Because the speckle noise in SAR images is multiplicative and coherent. In this paper, we propose a method called local non-negative matrix factorization (LNMF) for SAR image fusion. LNMF uses multiplicative iteration to approximate the standard image and reduces speckle noise. For getting more localized parts-based representation of images, LNMF improves the objective function of the standard NMF to enhance localization constraint. The result of experiments approved that LNMF method is efficient and effective for image fusion of SAR and visible images compared to other traditional methods.

关键词： SAR image visible image local non-negative matriz factorization image fusion.

作者: Youshi Ye Baojun Zhao Linbo Tang

作者单位: Department of Electronic Engineering,Beijing Institute of Technology.Beijing 100081,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 3491-3494

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）