QQ客服 官方微博 反馈留言

	DEEP HIERARCHICAL REPRESENTATION AND SEGMENTATION OF HIGH RESOLUTION REMOTE SENSING IMAGES
	Wang, Jun ; Qin, Qiming ; Li, Zhoujing ; Ye, Xin ; Wang, Jianhua ; Yang, Xiucheng ; Qin, Xuebin
	2015
关键词	Hierarchical representation Image segmentation High resolution remote sensing images
英文摘要	This paper presents a novel deep hierarchical representation and segmentation approach for high resolution remote sensing image understanding. An information extraction approach using deep hierarchical exploitation for remote sensing image is presented. The key idea is that we adopt a fast scanning image segmentation within a deep hierarchical feature representation framework, using a deep learning technique to split and merge over-segmented regions until they form meaningful objects. The contribution is to develop an effective procedure for multi-scale image representation to address the issue of information uncertainty in practical applications. We test our method on two optical high resolution remote sensing image datasets and produce promising experimental results in the form of multiple layer outputs, which confirm the effectiveness and robustness of the proposed procedure.; EI; CPCI-S(ISTP); qmqinpku@163.com; 4320-4323; 2015-November
语种	英语
出处	2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
DOI标识	10.1109/IGARSS.2015.7326782
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436485]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Wang, Jun,Qin, Qiming,Li, Zhoujing,et al. DEEP HIERARCHICAL REPRESENTATION AND SEGMENTATION OF HIGH RESOLUTION REMOTE SENSING IMAGES. 2015-01-01.

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。