从航空和卫星图像中识别屋顶周长

2011 17th International Conference on Digital Signal Processing (DSP) Pub Date : 2011-07-06 DOI:10.1109/ICDSP.2011.6005016

E. Angiati, S. Dellepiane

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引用次数: 6

摘要

计算机驱动的屋顶周长提取是建筑物三维重建中非常重要的一步，因为它可以减少人类的互动。在这种情况下，本文使用了来自航空调查或来自卫星的非常高分辨率的光学图像，目的是提取此类信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Identification of roofs perimeter from aerial and satellite images

The computer-driven extraction of roofs perimeter is a very vimportant step in 3D reconstruction of buildings as it allows vto reduce human interactions. In this context, very high vresolution optical images, from airborne surveys or from vsatellites, were used in this paper with the aim of extracting vsuch information.

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2011 17th International Conference on Digital Signal Processing (DSP)

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