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The Comparative Study on the Automatic Extraction Methods of Artificial Channel Based on Etm Image

机译:基于Etm图像的人工渠道自动提取方法的比较研究。

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摘要

It's urgent for China to solve the water shortage. Quickly and accurately extracting water resources from satellite remote sensing has become an important means of the investigation and monitoring of water resources and wetland protection. The fact that the spatio-temporal span of channel is large made the investigation difficult especially by the conventional way. Remote Sensing plays an increasing important role in the water resources protection with advantages of large scale, integration, dynamics and fastness. The RS images recorded the truth of the surface landscape in history and can reflect the distributing and the status quo of the channel in different courses of history. The article analyses the spectral and spatial feature of channel in ETM images in order to extraction the channel automatically with the different RS methods combined with GIS technology. A comparison among these methods is made. In addition, the article assesses the results of single-band method and multi-band method qualitatively and quantitatively. This study provide a scientific basis for the protection of water resource.
机译:中国迫切需要解决缺水问题。从卫星遥感中快速准确地提取水资源已成为水资源调查和监测及湿地保护的重要手段。通道的时空跨度大的事实使得调查尤其是通过常规方式变得困难。遥感在水资源保护中发挥着越来越重要的作用,它具有规模化,集成化,动态性和牢固性等优点。 RS图像记录了历史上地表景观的真实情况,可以反映出不同历史过程中河道的分布和现状。本文分析了ETM图像中通道的光谱和空间特征,以便采用与RS技术相结合的不同RS方法自动提取通道。这些方法之间进行了比较。此外,本文定性和定量地评估了单波段方法和多波段方法的结果。该研究为水资源保护提供了科学依据。

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