A Remote Sensing Image Fusion Algorithm Based on NMF and Curvelet

摘要：

A new method of remote sensing image fusion is proposed based on the both features of NMF(nonnegative matrix factorization) and Curvelet. Firstly,The registered images of multi-spectral and panchromatic are decomposed by curvelet transform to get coefficients of all layers including coarse,fine and detail scale layers. Secondly,NMF is applied to low frequency coefficients(coarse scale layer),to extract the fusion result of low frequency subband coefficients;and use the combination rule of absolute value maximum for coefficient selection from high frequency coefficients (detail and fine scale layer) . Finally,the fused image is obtained by performing the inverse curvelet transform. The experimental results show that the proposed algorithm can effectively obtain more spectral component and higher spatial resolution than those traditional fusing algorithms based on wavelet and curvelet.

关键词： non-negative matrix factorization curvelet transform remote sensing image fusion

作者: Liqing Zeng Mingjing Guo Junfang Xiao Huaishui Tong

作者单位: Digital Land Key Laboratory of Jiangxi Province,East China Institute of Technology,Fuzhou,Jiangxi,Ch School of Science,East China Institute of Technology,Fuzhou,jiangxi,China School of Science,East China Instituteof Technology,Fuzhou,jiangxi,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2086-2089

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）