A new matching algorithm is proposed by fusing the histogram of oriented gradients’ and the Zernike moments’ descriptors extracted from the real-time synthetic aperture radar (SAR) images and the real-time elevation maps (REMs), respectively. Both the SAR images and the REMs are acquired by an on-board interferometric SAR simultaneously. The two reciprocal descriptors are fused by weighting their Canberra distances. The numerical experiments demonstrate the advantage of the proposed matching algorithm preliminarily.

中文翻译：

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通过将 HOG 与 Zernike Moments 融合来进行地形匹配

通过融合分别从实时合成孔径雷达（SAR）图像和实时高程图（REM）中提取的定向梯度直方图和泽尼克矩描述符，提出了一种新的匹配算法。SAR 图像和 REM 均由机载干涉 SAR 同时获取。通过加权它们的堪培拉距离来融合两个互惠描述符。数值实验初步证明了所提出的匹配算法的优越性。