Lightlike warped product manifolds are considered in this paper. The geometry of lightlike submanifolds is difficult to study since the normal vector bundle intersects with the tangent bundle. Due to the degenerate me...Lightlike warped product manifolds are considered in this paper. The geometry of lightlike submanifolds is difficult to study since the normal vector bundle intersects with the tangent bundle. Due to the degenerate metric, the induced connection is not metric and it follows that the Riemannian curvature tensor is not algebraic. In this situation, some basic techniques of calulus are not useable. In this paper, we consider lightlike warped product as submanifold of semi-Riemannian manifold and establish some remarkable geometric properties from which we establish some conditions on the algebraicity of the induced Riemannian curvature tensor.展开更多
文摘Lightlike warped product manifolds are considered in this paper. The geometry of lightlike submanifolds is difficult to study since the normal vector bundle intersects with the tangent bundle. Due to the degenerate metric, the induced connection is not metric and it follows that the Riemannian curvature tensor is not algebraic. In this situation, some basic techniques of calulus are not useable. In this paper, we consider lightlike warped product as submanifold of semi-Riemannian manifold and establish some remarkable geometric properties from which we establish some conditions on the algebraicity of the induced Riemannian curvature tensor.
文摘高光谱图像(Hyperspectral Image,HSI)在采集的过程中会被大量混合噪声污染,会影响遥感图像后续应用的性能,因此从混合噪声中恢复干净的HSI成为了重要的预处理过程。在本文中,提出了一种基于非凸低秩张量分解和群稀疏总变分正则化的高光谱混合噪声图像恢复模型;一方面,采用对数张量核范数来逼近HSI的低秩特性,可以利用高光谱数据固有的张量结构,同时减少对较大奇异值的收缩以保留图像更多细节特征;另一方面,采用群稀疏总变分正则化来增强HSI的空间稀疏性和相邻光谱间的相关性。并采用ADMM(Alternating Direction Multiplier Method)算法求解,实验证明该算法易于收敛。在模拟和真实的高光谱图像实验中,与其他方法相比,该方法在去除HSI混合噪声方面具有更好的性能。
