基于卫星图像的城市道路网络检测

M. M. Yagoub
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引用次数: 5

摘要

第二代卫星如Landsat TM(30米分辨率)、SPOT(10米和20米分辨率)和第三代高分辨率卫星如Quickbird和IKONOS(1米和4米分辨率)逐渐减少了对更新交通网络的经典方法(实地调查、航空摄影)的依赖。结合Landsat TM、SPOT、HRV和IKONOS图像,使用屏幕数字化技术对阿联酋Al Ain的土地利用进行数字化分类,并更新交通网络。从卫星图像更新道路网络的屏幕数字化技术已经被许多研究人员和组织采用,例如美国人口普查局。使用屏幕数字化更新交通网络的优点是,数据将准备好与GIS环境中的其他层集成。所有这些层都可以连接到交通规划模型,以进行进一步的处理和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urban road network detection from satellite imagery
The second generation of satellites such as Landsat TM (30 meter resolution), SPOT (10 and 20 meter resolution) and the third generation of high-resolution satellites such as Quickbird and IKONOS (1 and 4 meter resolution) have gradually reduced dependency on classical methods of updating transportation networks (field survey, aerial photography). A combination of Landsat TM, SPOT, HRV, and IKONOS imageries were used to classify land use digitally and update transportation network in Al Ain, UAE using on-screen digitisation. The technique of on-screen digitisation, for updating road network from satellite imageries, had been adopted by various researchers and organisations, for example, the US Bureau of the Census. The advantage of updating transportation network using on-screen digitisation is that data will ready for integration with other layers in a GIS environment. All these layers can be linked to transportation planning models for further processing and analysis.
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