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• W2022606568 abstract "The retrieval of flooding levels with high-resolution (HR) synthetic aperture radar (SAR) images is presented in this paper. A new framework is proposed. It is based on the inversion of theoretical scattering models initially developed for nonflooded urban areas and here adapted to the flooding case. Starting from the theory, two possible retrieval approaches have been developed and are the main topic of this paper: two possible retrieval approaches have been developed and are the main topic of this paper: the local Single Image Objects Aware (SIObA) and the global Two Image Area Aware (TIArA). These two approaches are conceived to be applicable under different working conditions and consequently holding different properties and reliability. For each of them, a different algorithm is derived and tested, and the retrieval results are validated on a meaningful data set of HR TerraSAR-X images relevant to the Gloucestershire (U.K.) flooding that occurred in year 2007." @default.
• W2022606568 created "2016-06-24" @default.
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• W2022606568 date "2015-05-01" @default.
• W2022606568 modified "2023-10-02" @default.
• W2022606568 title "Flooding Water Depth Estimation With High-Resolution SAR" @default.
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• W2022606568 doi "https://doi.org/10.1109/tgrs.2014.2358501" @default.
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