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Analysis of POA estimation problem and area detection method for largely-oriented structures

机译:面向大型结构的POA估计问题分析与面积检测方法

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摘要

Orientation Angle Compensation is unable to solve the overestimated volume scattering problem of largelyoriented structures, thus special detection and decomposition algorithms are needed. The causation of OA estimation accuracy is discussed, which explains the inefficacy of detection using OA values. The existing detection methods for largely-oriented structures cannot distinguish largely-oriented structures from mountainous areas, in order to solve this problem, a method using alpha angle and a proper threshold is proposed. The threshold is obtained by analyses of RADARSAT-2 data. Statistics indicate that the classification accuracy of largely-oriented structures and mountainous areas can reach 95%.
机译:取向角补偿无法解决高取向结构体的高估体积散射问题,因此需要特殊的检测和分解算法。讨论了OA估计精度的因果关系,这解释了使用OA值进行检测的无效性。现有的面向大方向的结构的检测方法不能将大面向的结构与山区区分开,为了解决该问题,提出了一种使用α角和适当阈值的方法。该阈值是通过分析RADARSAT-2数据获得的。统计表明,大面积定向构造和山区的分类精度可以达到95%。

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