Xiao Wang

Orcid: 0000-0002-9999-3334

Affiliations:
  • Fudan University, MoE Key Laboratory for Information Science of Electromagnetic Waves, Shanghai, China


According to our database1, Xiao Wang authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Efficient ADMM Algorithm for Atomic Norm Minimization in SAR Tomography.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Optimization of the Vertical Wavenumber for PolInSAR Inversion Performance Based on Numerical CRLB Analysis.
Remote. Sens., November, 2023

Sar Ship Detection Based on Convnext with Multi-Pooling Channel Attention and Feature Intensification Pyramid Network.
Sensors, September, 2023

Determination of the Optimum k<sub>z</sub> for L-Band PolInSAR Forest Height Estimation.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Tomographic SAR Inversion by Atomic-Norm Minimization - The Gridless Compressive Sensing Approach.
IEEE Trans. Geosci. Remote. Sens., 2022

Non-Destructive Damage Detection of Spacecraft Thermal Protection System with ISAR Imaging.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
The Optimum Baseline Analysis for Polinsar Forest Height Mapping.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2019
A PolinSAR Inversion Error Model on Polarimetric System Parameters for Forest Height Mapping.
IEEE Trans. Geosci. Remote. Sens., 2019

Forest Height Mapping Using Complex-Valued Convolutional Neural Network.
IEEE Access, 2019

2018
On Polinsar System Requirements for Forest Height Mapping.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
The Iterative Reweighted Alternating Direction Method of Multipliers for Separating Structural Layovers in SAR Tomography.
IEEE Geosci. Remote. Sens. Lett., 2017

2016
Multi-signal compressed sensing for tomographic inversion of building structure with prior information.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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