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	Improved watershed segmentation algorithm for high resolution remote sensing images using texture
	Wang, ZY ; Song, CY ; Wu, ZZ ; Chen, XW
	2005
关键词	improved watershed segmentation texture high resolution remote sensing images CLASSIFICATION
英文摘要	Image segmentation, the combination of image elements based on homogeneity of the same segments and the heterogeneity of the neighboring regions, is particularly important in image processing. The difficulty in the identification of such property leads to the complex of the image segmentation. Among, the segmentation approaches., the Pi,watershed algorithm hits been extensively employed. However, the over-segmentation and under-segmentation have become the key problems for the conventional algorithm. To improve this method, texture of high resolution remotely sensed data tire employed. As a case study the QuickBird image has been segmented by using the improved approach. In the segmentation process, texture is regarded its a separate 'band'. Finally, the effectiveness of the improved watershed segmentation approach for high-resolution imagery has been analyzed. And the approach to solve the problems such its over-segmentation and under-segmentation has been proposed.; Geosciences, Multidisciplinary; Remote Sensing; CPCI-S(ISTP); 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/312104]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Wang, ZY,Song, CY,Wu, ZZ,et al. Improved watershed segmentation algorithm for high resolution remote sensing images using texture. 2005-01-01.

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