基于小波神经网络的遥感信息融合处理  

The Information Fusion in Remote Sensing Based on Wavelet Neural Network

作　　者：赵喜清[1] 张延军[2] 冯贵良[1] 兰安怡[1] 米海英[1] 

机构地区：[1]河北北方学院计算机科学系,河北张家口075000 [2]邯郸学院计算机系,河北邯郸056005

出　　处：《微电子学与计算机》2006年第11期84-86,共3页Microelectronics & Computer

摘　　要：文章提出一种小波神经网络的遥感图像融合算法,在特征级对遥感信息进行融合。并针对小波网络的“维数灾”问题,通过采用改进的遗传算法对时频相位点进行优化选择,从而确定小波网络的隐层节点数目乃至整个小波网络。仿真结果表明利用该方法设计的小波网络具有网络结构小、收敛速度快的优点,证明了该方法在处理遥感信息上优于经典算法。The method of remote information fusion that is based on wavelet neural network is brought forward,which fuse remote sensing information in characteristic class.Therefore using the improved GA optimized the time frequency that is aim at the problem of ＂dimension disaster＂ ,thereby it make sure the conceal layer node of whole wavelet network.The result of emulator indicate that the make sure of this wavelet neural network have excellent on simple network structure and quickly speed on convergence ,which testify the method is better than sutra arithmetic.

关 键 词：小波神经网络 遗传算法 遥感图像融合 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]