多基线机载合成孔径雷达影像匹配的SANCC法

为了有效利用合成孔径雷达(synthetic aperture radar,SAR)多基线影像的几何信息和辐射信息,提高匹配精度,提出了一种适用于多基线SAR幅度影像的自适应归一化互相关系数和(sum of adaptive normalized cross-correlation,SANCC)影像匹配方法。该方法首先利用SAR成像参数、平台参数和物方高程范围构建匹配方向线;然后引入Gestalt原理的接近性和相似性原则对窗口内的像素加权,计算获得沿匹配方向线的SANCC值;最后采用winner-take-all(WTA)优化策略获取多基线影像的匹配结果和物方三维信息。利用国产机载SAR系统获取的多基线影像进行匹配试验,结果表明与常规的相关匹配方法相比,该方法可以获得更为密集、精确的匹配点,有效减少了由重复纹理造成的误匹配,并能较好地解决由纹理匮乏导致的匹配难题。

Multi-image Matching of Airborne SAR Imagery by SANCC

In order to improve accuracy of SAR matching ,a multi‐image matching method based on sumof adaptive normalized cross‐correl ation (SANCC ) is proposed .It utilizes geometrical and radiometric information of multi‐baselinesynthetic aperture radar (SAR)images effectively .Firstly ,imaging parameters , pl atform parameters and approximate digital surface model (DSM) are used to predict matching line . Secondly ,simil arity and proximity in Gestalt theory are introduced to SANCC , and SANCC measures of potenti al matching points along the matching line are calcul ated .Thirdly ,multi‐image matching results and object coordinates of matching points are obtained by winner‐take‐all (WTA ) optimization strategy .The approach has been demonstrated with airborne SAR images acquired by a Chinese airborne SAR system (CASMSAR system) .The experimental results indicate that the proposed algorithmis effective for providing dense and accuracy matching points ,reducing the number of mismatches caused by repeated textures , and offering a better solution to match in poor textured areas .