摘要
以QuickBird高分辨率遥感影像作为信息源,用ENVI对影像进行基于像素的分类和面向对象的分类,对分类结果进行目视和精度比较.结果表明,面向对象的分类方法可以有效提高高分辨率遥感影像分类精度.
In this paper, Using ENVI, the QuickBird image is classified by pixel- based method and the object-oriented method. Comparing the results of pixel-based and object-oriented method with visual inspection and accuracy assessement, the results show that,the method of object-oriented can improve the accuracy of classification of high resolution remote sensing image.
出处
《滨州学院学报》
2013年第6期110-114,共5页
Journal of Binzhou University
关键词
高分辨率遥感影像
基于像素
面向对象
方法比较
high resolution remote sensing image
pixel-based
object-oriented
comparison of method
