关键词: 小波变换, 独立成分分析, 共生区域增长算法, 图像融合

Abstract: On the basis of analysis on characters of multi-temporal image, new fusion algorithm for multi-temporal image based on change detection was proposed. First, change extent of all areas in two images was decided by combining feature extraction based on wavelet transform and ICA change detection through subspace projection, concurrence region growing algorithm was proposed in order to extract feature mask on objects. The fusion scheme was proposed based on results of change detection. Simulation results show that the algorithm proposed is very effective.

Key words: wavelet transform, independent component analysis, concurrence region growing algorithm, image fusion