A study of application of rough sets theory in vegetation classification of remote sensing image

被引:0
作者
Du, LJ [1 ]
Zhang, Y [1 ]
Tian, Y [1 ]
Gao, ZJ [1 ]
机构
[1] Peking Univ, Remote Sensing & GIS Inst, Beijing 100871, Peoples R China
来源
IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings | 2005年
关键词
rough sets; emote sensing; vegetation classification;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
During the recent years, the topic of image classification has become more complex but inspiring with the development of subjects such as nerve network, and genetic algorithm. Under such a condition, many scholars are working toward a more intelligent method of image classification. This study provides a review of latest development and achievement of RS, combined with artificial nerve network, application to vegetation classification of image. A case study is also conducted in our analysis.
引用
收藏
页码:3737 / 3740
页数:4
相关论文
共 5 条