Vectorial boundary-based sub-pixel mapping method for remote-sensing imagery

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	Vectorial boundary-based sub-pixel mapping method for remote-sensing imagery
	Ge Yong
	2014
关键词	Remote sensing Pixels
英文摘要	This article presents a vectorial boundary-based sub-pixel mapping (VBSPM) method to obtain the land-cover distribution with finer spatial resolution in mixed pixels. With inheritance from the geometric SPM (GSPM), VBSPM first geometrically partitions a mixed pixel using polygons, and then utilizes a vectorial boundary extraction model (VBEM), rather than the rasterization method in GSPM, to determine the location and length of each edge in the polygon, while these edges are located at the boundary of and within the interior of the mixed pixel. Furthermore, VBSPM uses a decay function to manage the mixed pixels along the image boundary region due to the missing parts of their neighbours. Finally, a ray-crossing algorithm is employed to determine the land-cover class of each sub-pixel in terms of vectorial boundaries. The experiments with artificial and remotely sensed images have demonstrated that VBSPM can reduce the inconsistency between the boundaries of different land-cover classes, approximately calculating errors with an odd zoom factor, and achieve more accurate sub-pixel mapping results than the hard classification methods and GSPM. 2014 Taylor Francis.
出处	International Journal of Remote Sensing
卷	35 期:5 页:1756-1768
收录类别	EI
语种	英语
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/31261]
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	Ge Yong. Vectorial boundary-based sub-pixel mapping method for remote-sensing imagery. 2014.