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An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

机译:一种使用模糊逻辑从合成孔径雷达(SAR)数据的操作洪水映射算法

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An algorithm developed to map flooded areas from synthetic aperture radar imagery is presented in this paper. It is conceived to be inserted in the operational flood management system of the Italian Civil Protection and can be used in an almost automatic mode or in an interactive mode, depending on the user's needs. The approach is based on the fuzzy logic that is used to integrate theoretical knowledge about the radar return from inundated areas taken into account by means of three electromagnetic scattering models, with simple hydraulic considerations and contextual information. This integration aims at allowing a user to cope with situations, such as the presence of vegetation in the flooded area, in which inundation mapping from satellite radars represents a difficult task. The algorithm is designed to work with radar data at L, C, and X frequency bands and employs also ancillary data, such as a land cover map and a digital elevation model. The flood mapping procedure is tested on an inundation that occurred in Albania on January 2010 using COSMO-SkyMed very high resolution X-band SAR data.
机译:本文提出了一种从合成孔径雷达图像中映射淹没区域的算法。它被设想在意大利民事保护的运营洪水管理系统中插入,并且可以以几乎自动模式或交互模式使用,具体取决于用户的需求。该方法基于模糊逻辑,用于将雷达返回的理论知识集成到通过三种电磁散射模型考虑的云返回,具有简单的水力考虑和上下文信息。这种整合旨在允许用户应对诸如洪水区域中植被存在的情况,其中来自卫星雷达的淹没映射代表困难的任务。该算法旨在使用L,C和X频带的雷达数据,并且还采用辅助数据,例如陆地覆盖图和数字高度模型。洪水映射程序是在2010年1月在阿尔巴尼亚发生的淹没,使用COSMO-SKYMED非常高分辨率X波段SAR数据。

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