软件导刊Issue(1)：144-146,3.
面向对象的武汉市街区公共遥感影像分类研究
Classification of Public Remote Sensing Images Based on Object-Oriented Method
摘要
Abstract
Object oriented remote sensing image classification method overcomes the shortcomings of traditional pixel-based classification method .It combines the spectral ,spatial elements texture features of the images ,can avoid the "different objects share the same spectrum"or"the same objects differ in spectrum"effectively .It is suitable for the high resolution remote sensing image classification .Using a public image in Wuhan City as an example ,with the above method ,we com-bined with support vector machine classification method detect terrain classification recognition .Results show that the o-verall classification accuracy is 89 .9913% ,the classification has achieved good results .关键词
遥感影像分类/面向对象/支持向量机Key words
Classification of Remote Sensing Image/Object-Oriented/Support Vector Machine分类
信息技术与安全科学引用本文复制引用
杨慧,郑思莉,唐赫,朱文谦,程战员..面向对象的武汉市街区公共遥感影像分类研究[J].软件导刊,2014,(1):144-146,3.基金项目
武汉理工大学自主创新研究基金“中央高校基本科研业务费专项资金资助”（135214001）；教育部人文社科基金规划项目 （）
