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Building detection and height retrieval in urban areas in the framework of high resolution optical and SAR data fusion

机译:高分辨率光学和SAR数据融合框架下的城市建筑物检测和高度检索

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In this paper, we propose a symmetrized version of a semiautomatic processing chain, able to provide the simple 3D reconstruction of buildings in urban scenes, from high-resolution optical and SAR imagery. The new elaborated chain gives an equivalent part to the optical and SAR components, in order to fully exploit complementary information provided by proper building features in both images. First, the initial processing chain is reminded and completely illustrated on a studied scene on real data. Then, three points of improvements by process symmetrization are discussed: an augmentation of the detection rate in the footprint extraction step, an increase of the reliability attached to the estimated building heights and a joint improvement of the steps of building validation and qualification. Its is shown that the appropriate combination of optical and SAR features, inside some processing steps, could give better results of reconstruction.
机译:在本文中,我们提出了半自动处理链的对称版本,能够从高分辨率的光学和SAR图像中提供城市场景中建筑物的简单3D重建。新制作的链条为光学和SAR组件提供了等效的部分,以便充分利用两个图像中适当的建筑物特征所提供的补充信息。首先,在真实数据的研究场景中提醒并完整说明了初始处理链。然后,讨论了通过过程对称性进行的三点改进:增加足迹提取步骤中的检测率,增加与估算建筑物高度相关的可靠性以及联合改进建筑物验证和鉴定步骤。结果表明,在某些处理步骤中,光学和SAR特征的适当组合可以提供更好的重建结果。

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