Tensor Completion via Smooth Rank Function Low-Rank Approximate Regularization

Tensor Completion via Smooth Rank Function Low-Rank Approximate Regularization

In recent years, the tensor completion algorithm has played a vital part in the reconstruction of missing elements within high-dimensional remote sensing image data. Due to the difficulty of tensor rank computation, scholars have proposed many substitutions of tensor rank. By introducing the smooth...

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Bibliographic Details
Main Authors: Shicheng Yu, Jiaqing Miao, Guibing Li, Weidong Jin, Gaoping Li, Xiaoguang Liu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
hyperspectral image
tensor completion
low-rank
smooth rank function
Online Access:https://www.mdpi.com/2072-4292/15/15/3862

Internet

https://www.mdpi.com/2072-4292/15/15/3862

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