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Performance of change detection using remotely sensed data and evidential fusion: comparison of three cases of application

机译:使用遥感数据和证据融合进行变更检测的性能:三种应用案例的比较

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摘要

The detection of changes affecting continental surfaces has important applications in hydrological, meteorological and climatic modelling. Using remote sensing data, numerous change indices have already been proposed. Previous work showed the interest of combining several of these to improve change detection performance, using the Dempster-Shafer evidence theory framework. This study analyses the performance of different change indices and their combination in different cases of application: forest logging either in pine forest or in mixed forest, and winter vegetation cover of fields in intensive farming areas, in comparison to the forest fire case presented in previous work. The interest of indices derived from Information Theory, some of which are original, is shown.
机译:检测影响大陆表面的变化在水文,气象和气候模拟中具有重要的应用。利用遥感数据,已经提出了许多变化指数。先前的工作表明了使用Dempster-Shafer证据理论框架将其中几种结合起来以提高变更检测性能的兴趣。与之前的森林火灾案例相比,本研究分析了不同变化指数及其组合在不同应用案例中的表现:松树林或混交林中的森林采伐以及集约耕地的冬季植被覆盖工作。显示了从信息论衍生的索引的兴趣,其中一些是原始的。

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