摘要
针对遥感图象分类的特点,提出了一种径向基函数神经网络的遥感图象分类器。实验结果表明,这种径向基函数神经网络分类器经过训练后,可应用于遥感图象的分类。通过与BP经网络分类器相比较,径向基函数神经网络分类器在学习速度和分类精度等方面具有一定的优势。
In this paper, considering the features of remote sensing images, we proposed a remote sensing image classifier using radial basis function neural network. Experimental results show that radial basis function neural network classifier can be applied in remote sensing image classification through network learning. Comparing with BP neural network classifier, the radial basis function neural network classifier has more advantages in learning time and classification precision.
出处
《系统仿真学报》
CAS
CSCD
2001年第S2期146-147,161,共3页
Journal of System Simulation
基金
国家自然科学技术基金(编号60075008)资助项目
关键词
径向基函数
神经网络
遥感图象分类
radial basis function
neural network
remote sensing image classification
