摘要
提出了一种基于知识的土地利用/土地覆盖的分类方法,将遥感影象数据与地理信息系统数据有机地结合起来。通过与常规最大似然法的分类结果相比较表明基于知识的分类方法更加精确,为动态监测土地资源利用及环境变化情况提供了有力的工具。
A knowledge- based method for land use/cover classification is put forward. which combines the information derived from RS (remote sensing) with that derived from GIS (geographic information system). Comparison the results of this method with those obtained with the traditional Maximum likelihood Classification indicates that this new method is more accurate. Thus it is thought to be a powerful tool for monitoring the use of land resources and environmental changes.
出处
《西南农业大学学报（自然科学版）》
CSCD
北大核心
2003年第3期279-282,共4页
Journal of Southwest Agricultural University
基金
重庆市科委攻关项目(6217)
关键词
知识
分类
遥感
土地利用/覆盖
knowledge
classification
remote sensing
land use/cover
