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INTEGRATION OF CONTEXTUAL INFORMATION FOR THE TRANSFER OF BELIEFS IN AN INFORMATION SOURCES FUSION SYSTEM - APPLICATION TO DETECTION AND CLASSIFICATION OF TREES CROWNS

机译:在信息源融合系统中融入信仰转移的上下文信息 - 应用于树冠的检测和分类

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In this paper, we present an approach based on the transferable belief model for the detection and the classification of trees crowns on very high resolution satellite images of forest scenes. The masses resulting from the high resolution image source don't always allow deciding between the classes of occupation satisfactorily. Forest context and information about the structure of the forest species are two key elements in the forest scenes classification process. We expose in this paper the retained modelling of the context concept and the approach of revising masses through a transfer of belief. Then, we give some experimentation that illustrates the given approach.
机译:在本文中,我们提出了一种基于可转移信仰模型的方法,用于检测和森林场景非常高分辨率卫星图像上的树冠的分类。由高分辨率图像源产生的群众并不总是允许令人满意地决定占用的类别。森林背景和关于森林物种结构的信息是森林场景分类过程中的两个关键要素。我们在本文中揭示了背景概念的保留建模和通过对信仰转移来修改群众的方法。然后,我们给出一些实验,说明了给定的方法。

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