Jan 19, 2022 · A compact ANM approach is proposed in this letter for the tomographic reconstruction of coprime TomoSAR in the presence of multiple looks data.

The tomographic reconstruction of the coprime TomoSAR to the atomic norm minimization (ANM) framework to pursue super-resolution is extended and the compact ...

This paper extends the tomographic reconstruction of the coprime TomoSAR to the atomic norm minimization (ANM) framework to pursue super- resolution. A ...

TL;DR: In this article , a compact atomic norm minimization (ANM) approach is proposed for the tomographic reconstruction of coprime TomoSAR in the presence of ...

... An Efficient Reconstruction Approach Based on Atomic Norm Minimization for Coprime Tomographic SAR. Yu L., Feng D., Wang J., Huang X. Q1. IEEE Geoscience ...

By constructing a complete set of atoms, the gridless sparse methods can directly recover the sparse signals in the continuous frequency space. In this paper, ...

To guarantee a reliable tomogram, this study aims to determine the minimum number of acquisitions for the coprime TomoSAR when adopting a subspace method for ...

An Efficient Reconstruction Approach Based on Atomic Norm Minimization for Coprime Tomographic SAR. IEEE Geoscience and Remote Sensing Letters. 2022 | Journal ...

Feb 2, 2024 · Huang, “An efficient reconstruction approach based on atomic norm minimization for coprime tomographic sar,” IEEE Geoscience and Remote ...

Mar 9, 2023 · A TomoSAR sparse reconstruction algorithm based on the nested array is proposed, which uses adaptive covariance matrix estimation to improve the estimation ...