The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
Remote Sensing Image Classification Method Based on SVM
Author(s): 
Pages: 27-30,34
Year: Issue:  23
Journal: Video Engineering

Keyword:  classification of remote sensing imageFCMsupport vector machinemembership;
Abstract: 针对遥感图像监督分类方法需要人工提取训练样本的缺陷,提出一种模糊K均值聚类(FCM)提取训练样本、支持向量机(SVM)进行分类的方法.首先用FCM进行初步分类得到隶属度矩阵并判断每个样本的类别号;然后根据隶属度矩阵提取每类样本中密集程度较高的样本作为训练样本;最后用SVM对样本进行训练、再次分类.该方法克服了SVM算法需要人工样本的缺点,改善了传统非监督分类算法的性能,UCI标准数据库Iris数据和遥感数据样本的实验结果证明了该方法的可行性.
Related Articles
No related articles found