从谷歌地球图像中提取建筑物

Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI:10.1145/3366030.3368456

Jifang Xing, Ruixi Zhang, Remmy A. M. Zen, D. M. S. Arsa, Ismail Khalil, S. Bressan

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引用次数: 6

摘要

建筑提取是许多环境建模和数据分析应用程序的组成部分。然而，它是数据和知识密集型的。我们研究了使用来自Google Earth和OpenStreetMap的公开可用数据以及神经网络来完成这项任务。我们评估了不同的候选算法在巴厘岛建筑提取的情况下。

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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Building Extraction from Google Earth Images

Building extraction is a component of many environmental modelling and data analysis applications. It is however data and knowledge intensive. We investigate the use of publicly available data from Google Earth and OpenStreetMap and of neural networks for this task. We evaluate different candidate algorithms for the case of building extraction on the island of Bali.

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Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services

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