Jul 4, 2024 � In this article, a novel algorithm of robust nonlocal tensor decomposition (RNLTD) for InSAR phase denoising is proposed.

In this paper, we have developed a robust nonlocal tensor decomposition RNLTD algorithm for InSAR phase denoising. For this purpose, a novel NLT InSAR�...

A Robust Nonlocal Tensor Decomposition Method for InSAR Phase Denoising ... robust nonlocal tensor decomposition (RNLTD) for InSAR phase denoising is proposed.

The enhancement of the sparsity is achieved by grouping similar 2-D fragments of the image into a 3-D data array. Due to the similarity between the grouped�...

A Robust Nonlocal Tensor Decomposition Method for InSAR Phase Denoising � Gang XuFangzheng Xu +4 authors. Mengdao Xing. Engineering, Environmental Science. IEEE�...

This paper proposes a nonlocal approach for the joint estimation of the reflectivity, the interferometric phase, and the coherence images from an�...

A Robust Nonlocal Tensor Decomposition Method for InSAR Phase Denoising. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024). [j45]. view. electronic edition via�...

Robust tensor recovery plays an instrumental role in robustifying tensor decompositions for multilinear data analysis against outliers, gross corruptions,�...

We demonstrate that the filtered InSAR phase stacks can improve the accuracy of geophysical parameters estimated via conventional multipass InSAR techniques,�...

In this method, CP rank is utilized to measure the tensor sparsity, which can maintain the structural features of the InSAR tensor. Additionally, CP rank�...