The Fusion Arithmetic of Multi-Resolution Remote Sense Image Based On A Modified Fast Independent Component Analysis

摘要

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.