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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >A Novel Inpainting Algorithm for Recovering Landsat-7 ETM+ SLC-OFF Images Based on the Low-Rank Approximate Regularization Method of Dictionary Learning With Nonlocal and Nonconvex Models
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A Novel Inpainting Algorithm for Recovering Landsat-7 ETM+ SLC-OFF Images Based on the Low-Rank Approximate Regularization Method of Dictionary Learning With Nonlocal and Nonconvex Models

机译:基于非局部和非凸模型的字典学习低秩近似正则化方法的Landsat-7 ETM + SLC-OFF图像修复新算法

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摘要

On May 31, 2003, the scan line corrector (SLC) of the Enhanced Thematic Mapper Plus (ETM+) on-board the Landsat-7 satellite failed, resulting in strips of data lost in all ETM+ images acquired since then. In this paper, we proposed a novel inpainting algo
机译:2003年5月31日,Landsat-7卫星上的增强型专题制图仪Plus(ETM +)的扫描线校正器(SLC)出现故障,导致此后采集的所有ETM +图像中的数据条丢失。在本文中,我们提出了一种新颖的修复算法

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