QQ客服 官方微博 反馈留言

	Land cover classification using multitemporal chris/proba imagesand multitemporal texture
	Jin, Huiran ; Li, Peijun ; Fan, Wenjie
	2008
英文摘要	Most existing multitemporal classification researches use spectral information alone. However, adding spatial structure and temporal correlation in the classification could improve the classification accuracy. This paper proposed a new method to extract multitemporal texture by the Pseudo Cross Variogram (PCV). The derived texture features were combined with the original spectral information for multitemporal classification. The performance of the proposed multitemporal texture was evaluated in land cover classification using bi-temporal hyperspectral CHRIS/PRBOA images. The experiments showed that CHIRS/PROBA data is applicable in multitemporal classification, and including multitemporal texture in multitemporal classification could lead to a significant increase in overall classification accuracy, compared to the classification using spectral information alone. ? 2008 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/IGARSS.2008.4779829
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/156242]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Jin, Huiran,Li, Peijun,Fan, Wenjie. Land cover classification using multitemporal chris/proba imagesand multitemporal texture. 2008-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。