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Matching map features to synthetic aperture radar (SAR) images using template matching

机译:使用模板匹配将地图特征与合成孔径雷达(SAR)图像匹配

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摘要

The feasibility of matching templates representing map features to features in synthetic aperture radar images is investigated. The performance of template matching using cross-correlation (which has no knowledge of speckle) is compared with a correlation measure, based on a Kolmogorov-Smirnov test of fit, which does take speckle into consideration. This is shown to perform better than cross-correlation in simulated images. However, neither method performs well on real data. This is due to the exponential speckle model being inappropriate for linear features in real data. Alternative methods for matching map features to SAR images are suggested.
机译:研究了将代表地图特征的模板与合成孔径雷达图像中的特征进行匹配的可行性。基于互相关性的Kolmogorov-Smirnov拟合检验将使用互相关(不了解斑点)的模板匹配性能与相关度量进行比较,该检验确实考虑了斑点。在模拟图像中,这显示出比互相关更好的性能。但是,这两种方法都不能对真实数据执行良好的操作。这是由于指数散斑模型不适用于实际数据中的线性特征。建议将地图特征与SAR图像匹配的替代方法。

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