摘要
提出了基于Curvelet变换的自适应多传感图像融合新算法。算法将全色图像和多光谱图像进行Curvelet变换分解后,针对不同的频率域特点选择不同的融合规则。对低频系数选取区域能量的加权系数自适应融合规则,对高频系数选用了区域特征自适应的融合规则。最后通过重构得到融合图像。将该算法和其他的融合算法进行对比,结果表明,该算法是一种有效可行的图像融合算法。
A new self-adaptive multi-sensor image fusion algorithm based on Curvelet transform is proposed. Full-color and multispectral images are decomposed and transformed using the algorithm, and different fusion rules are selected according to different frequency characteristics. Self-adpative regional energy coefficients fusion rule and regional feature self-adaptive fusion rule are selected for low-and high-frequency coefficients. The final fusion image is obtained by reconstruction. Compared with other fusion algorithms this algorithm is a feasible and effective image fusion algorithm.
出处
《激光与光电子学进展》
CSCD
北大核心
2010年第5期45-50,共6页
Laser & Optoelectronics Progress
基金
国家自然科学基金(40671133)资助课题
关键词
图像处理
多传感
CURVELET变换
自适应
遥感
融合算法
image processing
multi-sensor
Curvelet transform
self-adpative
remote sensing
fusion algorithm
