| 注册
首页|期刊导航|安徽农业科学|遥感影像分类方法研究动态

遥感影像分类方法研究动态

张雁 吴保国 王冬

安徽农业科学2012,Vol.40Issue(28):14107-14110,4.
安徽农业科学2012,Vol.40Issue(28):14107-14110,4.

遥感影像分类方法研究动态

Research Dynamics of the Classification Methods of Remote Sensing Images

张雁 1吴保国 2王冬2

作者信息

  • 1. 西南林业大学计算机与信息学院,云南昆明650224
  • 2. 北京林业大学信息学院,北京100083
  • 折叠

摘要

Abstract

Remote sensing image classification is the key technology of remote sensing information extraction and has always been the research focus in the field of remote sensing. This paper introduces the process of remote image classification and the traditional classification techniques and methods. According to the recent research state of domestic and international remote sensing classification methods, the new study dynamics of remote image classification, such as artificial neural networks, support vector machines, active learning and ensemble multi-classifiers, were introduced, providing references for the automatic and intelligent development of remote sensing images classification.

关键词

遥感图像/分类方法/分类器

Key words

Remote sensing images/ Classification methods/ Classifiers

分类

农业科技

引用本文复制引用

张雁,吴保国,王冬..遥感影像分类方法研究动态[J].安徽农业科学,2012,40(28):14107-14110,4.

基金项目

本文得到云南省教育厅科研基金项目(2010Y290)资助. (2010Y290)

安徽农业科学

0517-6611

访问量0
|
下载量0
段落导航相关论文