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	Superresolution Land-Cover Mapping Based on High-Accuracy Surface Modeling
	Chen Y. H.; Ge, Y.; Song, D. J.
	2015
关键词	High-accuracy surface modeling (HASM) land-cover remote sensing imagery superresolution mapping (SRM) shifted images pixel interpolation
英文摘要	A new superresolution mapping (SRM) method based on high-accuracy surface modeling (HASM) is proposed to generate land-cover maps at the subpixel scale. HASM uses the fundamental theorem of surfaces to uniquely define a land surface, which can produce less errors in interpolation results than classic methods, and thus, the proposed SRM method first uses it to estimate the soft class values of subpixels according to the fraction images of soft classification. Then, it transforms the soft class values into a hard-classified land-cover map using class allocation under the constraints of fraction images. Experiments on a synthetic image and a real remote sensing image show that the proposed method produces more accurate SRM maps than four existing SRM methods. Hence, the proposed method provides a new option for superresolution land-cover mapping.
出处	Ieee Geoscience and Remote Sensing Letters
卷	12
期	12
页	2516-2520
语种	英语
ISSN号	1545-598X
DOI标识	10.1109/lgrs.2015.2489683
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/43471]
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	Chen Y. H.,Ge, Y.,Song, D. J.. Superresolution Land-Cover Mapping Based on High-Accuracy Surface Modeling. 2015.

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