高分辨率SAR图像目标阴影可为目标识别提供更多的信息,对SAR图像目标阴影进行修复可以获取完整的目标阴影。采用传统样本匹配方法对SAR图像进行目标阴影修复时会出现阴影区域漏判问题和过渡区域不均匀问题。提出一种相似度自适应样本块的SAR图像目标阴影修复方法。利用SAR图像中目标及其阴影斜距的相对位置关系作为待修复区域的预判依据,有效地解决了阴影区域漏判问题;然后采用相似度自适应样本块的图像修复方法,改善了过渡区域不均匀问题。实验结果表明,本文方法可以有效地恢复高分辨率SAR图像中缺失的目标阴影。

Restoring the complete shadow of targets by inpainting techniques is helpful for target recognition in high-resolution SAR image. In the process of shadow inpainting for high-resolution SAR images, the traditional exemplar matching leads to the misjudgment of shadow regions and the inhomogeneity of transition regions. In this paper, we propose an adaptive target shadow inpainting method based on exemplar's similarity. The problem of shadow region misjudgment is solved by introducing inpainting region prejudgment according to the relative relationship between target and its shadow. Moreover, the adaptive inpainting method based on exemplar's similarity overcomes the problem of transition region's inhomogeneity. The experimental results show that the proposed method can effectively restore the missing target shadows in SAR images.