An adaptive remote sensing image fusion algorithm based on Directionlet transform
A new adaptive remote sensing image fusion algorithm based on Directionlet transform is proposed in this paper. Directionlet transform introduces multi-directional anisotropic basic function based on integer lattice which can effectively capture the anisotropic characteristics of images. For the high-frequency multi-directional coefficients, a contrast-based criterion is adopted and the low-pass coefficients are then selected adaptively based on a weighted criterion. Experimental results show that the proposed remote sensing fusion algorithm outperforms the wavelet-based fusion algorithm, both in terms of visual effect as well as quantized objective evaluation index, which proves that this algorithm is a feasible and effective remote sensing image fusion method.
Directionlet transform image fusion remote sensing image multi-directionality the adaptive weighted rule the contrast-based criterion
Jing Bai Baini Zhao LC Jiao
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education ofChina, X
国际会议
桂林
英文
1-7
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）