%0 Journal Article
%T RBF Neural Network Based Image Fusion Restoration Approach<br>基于RBF神经网络的图像融合复原方法研究
%A Niu Lihong
%A Ni Guoqiang
%A Su Binghua
%A <br>牛丽红
%A 倪国强
%A 苏秉华
%J 光子学报
%D 2006
%I 
%X A radial basis function(RBF)neural network based image fusion restoration approach for multiple spectrum images is proposed and investigated.The spatial resolution improvement of images with poor resolution can be achieved by fusing the images of various resolutions.The simulated experimental results show the effectiveness of the method. The image quality is improved by fusing the correlative and redundant information between images.The modified algorithms ensure quick training and mapping precision of the networks.The research also illustrates that using multi-channel information is more effective than using a single one and the scenario conducted has advantages over conventional methods.
%K Image restoration
%K Data fusion
%K Multi-spectrum image
%K Artificial neural networks
%K Image degradation<br>图像复原
%K 数据融合
%K 多光谱图像
%K 神经网络
%K 图像退化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=9F6139E34DAA109F9C104697BF49FC39&aid=E9B753125FFCEA0B&yid=37904DC365DD7266&vid=6209D9E8050195F5&iid=0B39A22176CE99FB&sid=EC34D52BE81085CE&eid=CA9ED1AB4D9E3E04&journal_id=1004-4213&journal_name=光子学报&referenced_num=5&reference_num=10