%0 Journal Article
%T Application Study of Fuzzy ARTMAP Neural Network in Classification of Land Cover<br>Fuzzy ARTMAP神经网络在土地覆盖分类中的应用研究
%A HAN Min
%A CHENG Lei
%A TANG Xiao-liang
%A <br>韩敏
%A 程磊
%A 唐晓亮
%J 中国图象图形学报
%D 2005
%I 
%X The amount of remotely data images increases rapidly, and the information that the images contain becomes more and more complicated. How to classify remotely sensed images automatically and effectively is a problem needed to be solved. This paper explores the application of Fuzzy ARTMAP neural network in classification of land cover. The adjusting methods of vigilance parameter are summarized. An automatic adjusting algorithm is proposed. The simulation results show that the automatic adjustment algorithm can increase the efficiency of selecting the optimum parameter value. The convergence speed and classification accuracy can also be improved through the automatic adjusting algorithm. The Fuzzy ARTMAP neural network with the automatic adjusting algorithm has shorter training time and higher classification accuracy than maximum likelihood classifier and traditional Fuzzy ARTMAP. A relatively satisfied classification result can be achieved by using Fuzzy ARTMAP in land cover classification.
%K remote sensing
%K classification of land cover
%K Fuzzy ARTMAP
%K parameter adjustment<br>ARTMAP神经网络
%K Fuzzy
%K 土地覆盖
%K ARTMAP网络
%K 应用
%K 分类精度
%K 最大似然法
%K 遥感影像
%K 自动分类
%K TM影像
%K 调整方法
%K 收敛速度
%K 训练时间
%K 分类研究
%K 警戒
%K 数值
%K 算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=13039CFA41E8CD3B&yid=2DD7160C83D0ACED&vid=F3090AE9B60B7ED1&iid=E158A972A605785F&sid=BFB86B6ED3A99B9D&eid=A159582071871FED3B85048D464A82BA&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=5&reference_num=14