月球虹湾DEM超分辨率重建算法研究Moon Sinus Iridum DEM super-resolution reconstruction algorithm
魏士俨,马友青,刘少创
摘要(Abstract)：
月面地形信息对于嫦娥3号的安全降落是至关重要的。本文提出了一种基于压缩感知的超分辨率DEM重建方法,得到了虹湾(嫦娥3号的拟着陆位置)的超分辨率DEM。该方法先根据经过模糊处理并加入噪声的低分辨率DEM重建原始的高分辨率DEM,采用K-SVD算法完成高、低分辨率过完备字典Ah和Al的学习;再获得低分辨率DEM块的稀疏表示,并将表示系数用于高分辨率字典以生成对应的高分辨率DEM块;最后运用最小二乘算法得到满足重构约束的高分辨率DEM。实验验证了算法的有效性,表明其在视觉效果及RMSE指标上均优于插值方法。
关键词(KeyWords)： 压缩感知;超分辨率;过完备字典;DEM重建
基金项目(Foundation): 国家自然科学基金资助项目(41072298,40671160)
作者(Author): 魏士俨,马友青,刘少创
DOI: 10.16251/j.cnki.1009-2307.2013.02.019
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