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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Improving Super-Resolution Flood Inundation Mapping for Multispectral Remote Sensing Image by Supplying More Spectral Information
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Improving Super-Resolution Flood Inundation Mapping for Multispectral Remote Sensing Image by Supplying More Spectral Information

机译：通过提供更多光谱信息来改进多光谱遥感图像的超分辨率洪水淹没映射

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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.
机译：超分辨率映射是一种有效的多光谱遥感影像洪水泛滥映射技术。但是，传统的超分辨率洪水淹没映射（SRFIM）无法充分利用多光谱遥感影像波段的光谱信息。为了解决这个问题，提出了一种通过提供更多频谱信息的新型SRFIM（SRFIM-MSI）来提高映射精度。在提出的SRFIM-MSI中，通过归一化差异水指数（NDWI）计算来自多光谱带的光谱信息。由NDWI构成的频谱项被添加到传统的SRFIM中。通过使用来自柬埔寨研究区域的两个Landsat 8 OLI多光谱数据对提出的方法进行评估。获得的结果表明，所提出的SRFIM-MSI比传统SRFIM方法产生了更好的结果。

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