王梦秋,万幼川,李刚

• 1:武汉大学遥感信息工程学院

摘要(Abstract)：

为提高RBF神经网络遥感影像分类算法的分类效果,本文提出了一种基于核聚类的改进方法。文中采用武汉地区的SPOT影像为实验数据,比较了改进算法与传统基于K均值的RBF神经网络的分类结果,试验表明改进算法的总体精度和Kappa系数均高于传统算法。

关键词(KeyWords)： 遥感影像分类;RBF神经网络;核聚类;OTSU算法,影像分割

Abstract:

Keywords:

基金项目(Foundation): 国家支撑项目(2012BAH34B02,2012BAJ15B04,2011BAH12B03)

作者(Author): 王梦秋,万幼川,李刚

DOI: 10.16251/j.cnki.1009-2307.2014.01.025

参考文献(References)：

• [1]贾坤,李强子,田亦陈,等.遥感影像分类方法研究进展[J].光谱学与光谱分析,2011,31(10):2618-2623.
• [2]Song X F,Duan Z,Jiang X G.Comparison of artificial neural networks and support vector machine classifiers for land cover classification in northern China using SPOT-5HRG image[J].International Journal of Remote Sensing,2012,33(10):3301-3320.
• [3]Ayhan E,Kansu O.Analysis of image classification methods for remote sensing experimental techniques[J].2011,36(1):18-25.
• [4]罗小波,王云安,肖春宝,等.RBF神经网络在遥感影像分类中的应用研究[J].遥感技术与应用,2004,19(2):119-123.
• [5]高大启,杨根兴.改进的RBF神经网络模式分类方法理论研究[J].华东理工大学学报,2001,27(6):677-6.
• [6]刘书华,舒宁.基于RBF神经网络的遥感影像分类器设计[J].测绘信息与工程,2006,31(2):10-12.
• [7]巫兆聪.基于粗糙理论的RBF网络极其遥感影像分类应用[J].测绘学报,2003,32(1):53-57.
• [8]Bruzzone L,Prieto D F.Technique for the selection of kernel-function parameters in RBF neural networks for classification of remote-sensing images[C]//Transactions on Geoscience&Remote Sensing.1999,37(2):1179-1184.
• [9]Gong D X,Chang J C,Wei C A.An adaptive method for choosing center sets for RBF interpolation[J].Journal of Computers,2011,6:2112-2118.
• [10]张莉,周伟达,焦李成.核聚类算法[J].计算机学报,2002,25(6):587-590.
• [11]李刚,等.基于高维云模型和RBF神经网络的遥感影像不确定性分类方法[J].测绘科学,2012,37(1):115-118.
• [12]李峰.一种基于K-L变换和Otsu阈值选择的彩色图像分割算法[J].计算机应用,2007,27(B12):93-94.
• [13]王祥科,郑志强.Otsu多阈值快速分割算法及其在彩色图像中的应用[J].计算机应用,2006,26(B06):14-15.
• [14]Huang D Y,Wang C H.Optimal multi-level thresholding using a two-stage otsu optimization approach[J].Pattern Recognition Letters,2009,30(3):275-284.
• [15]Wang C,Watada J.Robust color image segmentation by karhunen-loeve transform based otsu multi-thresholding and k-means clustering[C]//2011Fifth International Conference on Genetic and Evolutionary Computing(ICGEC).Xiamen,2011:377-380.
• [16]Wu J,Zeng P,Zhou Y,et al.A novel color image segmentation method and its application to white blood cell image analysis[C]//Signal Processing,2006 8th International Conference.Beijing,2006:16-20.
• [17]Girolami M.Mercer kernel-based clustering in feature space[C]//Transactions on Neural Network.2002,13(3):780-784.