The Fusion Arithmetic of Multi-Resolution Remote Sense Image Based On A Modified Fast Independent Component Analysis
Independent Component Analysis (ICA) is an effective approach to the separation of blind signal, and has attracted broad attention and has be successfully used in many fields. The fundamental, target functions and practical algorithm of Independent Component Analysis are discussed. Then, by modifying the performance of FastICA algorithm are merged into one iteration of M-FastICA. The M-FastICA algorithm achieves the correspondent effect of FastICA. So the convergence of ICA will be accelerated. Finally, M-FastICA is applied to images fusion. The experiment results show that the modified algorithm reduces iterations with the correspondent fusion performance.
ICA FastICA M-FastICA Image Fusion
Sun Junping Liu Yang
East China Research Institute of Electronic Engineering Anhui Hefei ,230031
国际会议
首届亚太合成孔径雷达会议(1st Asian and Pacific Conference on Synthetic Aperture Radar Proceedings)
安徽黄山
英文
2007-11-05（万方平台首次上网日期，不代表论文的发表时间）