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所属单位：电子信息工程学院

发表刊物：IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

关键字：Multispectral remote sensing image spectral information super-resolution flood inundation mapping (SRFIM) super-resolution mapping (SRM)

摘要：Super-resolution mapping is an effective technique in mapping flood inundation for multispectral remote sensing image. However, the traditional super-resolution flood inundation mapping (SRFIM) is unable to fully utilize the spectral information from multispectral remote sensing image band. In order to resolve this problem, a novel SRFIM by supplying more spectral information (SRFIM-MSI) is proposed to improve mapping accuracy. In the proposed SRFIM-MSI, the spectral information from the multispectral band is calculated by the normalized difference water index (NDWI). A spectral term constituted by NDWI is added into the traditional SRFIM. The proposed method is evaluated by using two Landsat 8 OLI multispectral data from the study area in Cambodia. The obtained results demonstrate that the proposed SRFIM-MSI produces better results than the traditional SRFIM methods.

ISSN号：1545-598X

是否译文：否

发表时间：2019-05-01

合写作者：张弓,Leung, Henry

通讯作者：王鹏