| 基于遥感技术的植被分类研究现状与发展趋势 |
| |
| 引用本文： | 郭航,张晓丽.基于遥感技术的植被分类研究现状与发展趋势[J].世界林业研究,2007,20(3):14-19. |
| |
| 作者姓名： | 郭航 张晓丽 |
| |
| 作者单位： | 北京林业大学省部共建森林培育与保护教育部重点实验室, 北京 100083 |
| |
| 摘 要： | 综述了国内外基于遥感技术进行植被分类的研究现状, 并提出植被分类的发展趋势:(1)从单时相、单源遥感分类向多时相、多源信息融合发展; (2)从单一分类方法向复合分类方法发展; (3)从“硬”分类向“软”分类方向发展; (4)从基于像元分类向混合像元分解分类和面向对象分类方向发展; (5)从传统分类向智能分类方向发展。
|
| 关 键 词： | 植被分类 遥感技术 面向对象 智能分类 |
| 文章编号： | 1001-4241（2007）03-0014-06 |
| 收稿时间： | 2006/5/13 0:00:00 |
| 修稿时间： | 2006-05-13 |
Current Status and Developing Trend in Vegetation Classification Based on RS Technology |
| |
| Guo Hang and Zhang Xiaoli.Current Status and Developing Trend in Vegetation Classification Based on RS Technology[J].World Forestry Research,2007,20(3):14-19. |
| |
| Authors: | Guo Hang and Zhang Xiaoli |
| |
| Affiliation: | The Key Laboratory for Silvicuture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China |
| |
| Abstract: | This paper summarized the current status of vegetation classification based on RS technology at home and abroad,and pointed out the developing trend as follows:(1)from single-phase,single-source classification to fusion of multitemporal,multisource data;(2)from single classifier to hybird classifiers;(3)from hard classification to soft classification;(4)from pixel-based classification to pixel unmixing and object-oriented classification;(5)from traditional classification to intelligent classification. |
| |
| Keywords: | vegetation classification RS technology object-oriented intelligent classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《世界林业研究》浏览原始摘要信息 |
|
点击此处可从《世界林业研究》下载全文 |
