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	A hybrid multi-scale segmentation approach for remotely sensed imagery
	Pei T.
	2003
关键词	scale top-down strategy segmentation remotely sensed imagery color images
页码	3416-3419
英文摘要	The general image segmentation approach used in other domains may not be applicable to the remote sensing field, which is due to the following factors: remotely sensed data is multi-spectral, always very large in size, and in multi-scale as well. How to quickly and efficiently segment remotely sensed imagery is still a big issue to be solved. Based on human vision mechanism, a new hybrid multi-scale segmentation approach is presented, which is implemented at three coarse-to-fine scale levels. First, remotely sensed imagery is segmented at a coarse scale, and image regions (segments) are produced. Then, the corresponding regions in the original image are segmented by another segmentation approach one by one at the fine scale. From the experiment results, we found the approach is rather promising. However, there still exists some problems to be settled, and further researches should be conducted in the future.
收录类别	CPCI
会议录出版者	Ieee
语种	英语
ISBN号	0-7803-7929-2
内容类型	会议论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/25048]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Pei T.. A hybrid multi-scale segmentation approach for remotely sensed imagery[C]. 见:.

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