摘要
为了获取IKONOS高分辨率多光谱图像,更有效地对IKONOS卫星图像进行利用,分析了使用最速下降法对IKONOS卫星的高空间分辨率全色图像PAN(panchromatic images)和低空间分辨率多光谱图像MS(multispectral images)进行融合的技术.提出以MS图像(波段:R,G,B)中每个像素点的R、G、B三色分量值所占比例大小为基础设立矩阵参数,代替原算法能量方程中R、G和B波段图像前的常值参数,使融合图像与MS图像的色调保持完全一致,同时适度取小NIR波段图像前的参数值,提高了融合图像的清晰度.在进行的5种算法融合对比仿真实验中,通过主客观两方面对融合图像质量进行了评价,证明了改进后算法的有效性和优越性.
In order to obtain high-resolution multi-spectral images and more efficient use of IKONOS satellite imagery, this article analyzed the image fusion technique using steepest descent method to carry out fusing to high spatial resolution panchromatic （PAN） images and low spatial resolution multi-spectral （MS） images of IKONOS. An improved algorithm is proposed on this basis. To replace constant parameters added as weight with R, G and B bands images in the energy equation of original algorithm, matrix parameters which are set up in accordance with the proportion of R, G, and B component value of each pixels of MS image （ bands ： R, G and B） are used in the improved algorithm. At the same time, the parameter in front of NIR band image can be set appropriately small value on this basis. The advantages of improved algorithm are that hue of MS image is maintained fully and the clarity of fusion image is improved substantially at the same time. Simulation experiment of comparing based on five kinds of fusion algorithms has been done in this article, and results of evaluation of objective and subjective aspects to fusion images quality demonstrated the effectiveness and superiority of the improved algorithm.
出处
《应用科技》
CAS
2010年第3期33-37,共5页
Applied Science and Technology
基金
黑龙江省博士后基金资助项目(3236301219)
