卜丽静,苏旭,张正鹏

• 1:辽宁工程技术大学测绘与地理科学学院

摘要(Abstract)：

针对合成孔径雷达(SAR)图像序列超分辨率重建过程中对配准误差敏感的问题,该文提出了一种单应性约束的最大后验超分重建方法。首先,对SAR图像序列的中间帧做2倍上采样,将其作为基准图像,利用本文改进的尺度不变特征变换(SIFT)配准算法依次计算SAR图像序列的每一帧与基准图像之间的单应性。通过对待配准图像进行分幅、放大阈值、单应性筛选等操作,达到增加匹配点数量、有效去除误匹配的目的。然后,将单应性作为配准参数,对图像进行配准,并对配准后的图像进行重采样,重采样后的图像利用最大后验(MAP)超分算法进行超分重建,得到高分图像。实验结果表明,该文改进SIFT配准算法可以在保证匹配点对正确率较高的同时增加匹配点数量,且算法复杂度低。改进MAP重建算法与经典超分方法相比,图像质量更高,细节更好。

关键词(KeyWords)： SAR图像;尺度不变特征;最大后验;超分重建

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41501504);; 辽宁省教育厅一般项目(LJYL011)

作者(Author): 卜丽静,苏旭,张正鹏

DOI: 10.16251/j.cnki.1009-2307.2019.08.014

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