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Remote sensing image change detection based on spatial neighborhood analysis

机译:基于空间邻域分析的遥感图像改变检测

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Remote sensing image change detection can analyze surface coverage change trends and evolution law of the land use/cover, disaster monitoring, forest vegetation change, urban expansion and layout, and many other fields play an important role in positively, has the urgent scientific applications demand and extensive application prospect. In this paper, we discussed remote sensing image change detection, and introduced one method based on spatial neighborhood analysis. Case study shows that, the effect of the method introduced is obvious where detection area is spatial neighborhood correlation.
机译:遥感图像变化检测可以分析地表覆盖变化趋势和进化法的土地使用/封面,灾害监测,森林植被变化,城市扩张和布局,以及许多其他领域在积极地发挥着重要作用,具有迫切科学应用需求和广泛的应用前景。本文讨论了遥感图像改变检测,并介绍了一种基于空间邻域分析的方法。案例研究表明,引入的方法的效果是显而易见的,其中检测区域是空间邻的相关性。

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