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Sensing”(遥感)],“abstract”(摘要):“提出了一种全局和局部张量稀疏近似(GLTSA)模型,用于去除高光谱图像中的条纹。HSI很容易因不需要的条纹而降级。条纹的两个固有特征是(1)全局稀疏分布和(2)沿条纹方向的局部平滑。无条带高光谱图像在空间域平滑,具有很强的光谱相关性。现有的去条纹方法通常不能同时在空间域和光谱域中充分研究条纹的这种固有特性。这些方法可能会在极端区域产生新的伪影,导致光谱失真。该GLTSA模型将两个u2113 0范数正则化子应用于条带分量,并使用顺态梯度来提高去条带性能。将两个u2113 1-范数正则化子应用于空间域和光谱域的干净图像梯度。通过带平衡约束的数学程序(MPEC)将GLTSA中的双非凸函数转换为单非凸函数。实验结果表明,GLTSA是有效的,在视觉和定量评估方法上优于现有的基于竞争矩阵和基于张量的去纹理方法<\/jats:p>“,”DOI“:”10.3390\/rs12040704“,”type“:”journal-article“,”created“:{”date-parts“:[[2020,2,21]],”date-time“:”2020-02-21T13:59:47Z“,”timestamp“:1582293587000},”page“:390英寸卷:“12”,“作者”:[{“ORCID”:“http://\/ORCID.org\/0000-0002-1668-4318”,“authenticated-ORCID”:false,“给定”:“向阳”,“家族”:“孔”,“序列”:“第一”,“从属关系”:[]},{“ORCID”:“http://\-ORCID.org \/00000-0002-6974-7327”,“authenticated-ORCID“:false”,“给定的”:“永强”,“家庭”:“赵”,“sequence”:“附加”,“隶属关系”“:[]},{”给定“:”Jize“,”family“:”Xue“,”sequence“:”additional“,”affiliation“:[]},{”given“:”Jonathan 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