Improving Super-Resolution Flood Inundation Mapping for Multispectral Remote Sensing Image by Supplying More Spectral Information

Affiliation of Author(s):电子信息工程学院

Journal:IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

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

Abstract: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 No.:1545-598X

Translation or Not:no

Date of Publication:2019-05-01

Co-author:ZHANG Gong,Leung, Henry

Correspondence Author:王鹏

Date of Publication:2019-05-01