文章摘要
李彦,张德祥.Directionlet域的多波段遥感图像融合算法研究[J].安徽建筑大学学报,2016,24(3):92-96
Directionlet域的多波段遥感图像融合算法研究
Fusion Algorithms for Multi-band Remote Sensing Image in Directionlet Domain
  
DOI:10.11921/j.issn.2095-8382.20160319
中文关键词: Directionlet变换  多波段遥感图像  区域边缘检测  图像融合
英文关键词: Directionlet transform  muliband remote sensing image  region edge detection  image fusion
基金项目:国家自然科学基金资助项目-(61272025)
作者单位
李彦 安徽职业技术学院安徽 合肥 230011 
张德祥 安徽大学电气工程与自动化学院安徽 合肥 230601 
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中文摘要:
      提出一种有效的基于Directionlet变换的多波段遥感图像融合算法。Directionlet变换是一种新的基于格子的歪斜多尺度多方向各向异性小波变换工具,具有更高的逼近精度和更好的稀疏表达能力的图像分解变换,与小波变换相比,抑制了小波变换在图像边缘方向表示的固有局限性。首先采用具有多尺度、多方向特点的Directionlet变换对多波段遥感图像进行分解。对于低频系数采用平均融合算法,方向高频系数采用区域边缘检测实现多波段遥感图像的融合处理。实验结果表明,提出的算法与传统融合算法相比不仅原始图像的边缘和纹理信息可保留,而且可获得更好的融合视觉效果。
英文摘要:
      An efficient fusion algorithm for multi-band remote sensing images based on directionlet transform is proposed. Directionlets transform is a new lattice based skewed multi-scale and multi-directional anisotropic wavelet transform tool with better approximation precision and sparse description compare with wavelet transform, and it has overcome some inherent limitations of wavelet in representing directions of edges in image. Firstly, the several of muliband remote sensing images are decomposed using directionlet transform, which have multi-scale, multi-direction characteristics. Then, for the low-pass coefficients, an averaging fusion rule is used. And the directional high-frequency coefficients are used to select the better coefficients by region edge detection algorithm for fusion. Experimental results show that compared with traditional algorithm, the proposed algorithm can get better visual effect and the significant information of original image like textures and contour details is well maintained.
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