A Novel Algorithm Based on Compressive Sensing to Mitigate Phase Unwrapping Errors in Multitemporal DInSAR Approaches-Reference-Cited by-同舟云学术

A Novel Algorithm Based on Compressive Sensing to Mitigate Phase Unwrapping Errors in Multitemporal DInSAR Approaches

Published:2022 Issue: Volume:60 Page:1-20
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Manunta Michele^ORCID,Muhammad Yasir

Funder

ENVRIFAIR Project of the European Union Horizon 2020 for Research and Innovation Program

I-AMICA Project

Istituto per il Rilevamento Elettromagnetico dell’Ambiente (IREA)-Italian National Research Council (CNR)/Italian Ministry of Economic Development DGS-UNMIG Agreement

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09440786.pdf?arnumber=9440786

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1. A Simple Solution to Enhance a Compressive Sensing-based Approach for Phase Unwrapping of Small Baseline Multi-Temporal Dinsar Interferograms;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Innovative Compressive Sensing Algorithm for Multi-Temporal Differential Interferograms Phase Unwrapping;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

3. Time series phase unwrapping algorithm using LP-norm optimization compressive sensing;International Journal of Applied Earth Observation and Geoinformation;2023-03

4. On the Phase Nonclosure of Multilook SAR Interferogram Triplets;IEEE Transactions on Geoscience and Remote Sensing;2022

5. InSAR Phase Unwrapping Error Correction for Rapid Repeat Measurements of Water Level Change in Wetlands;IEEE Transactions on Geoscience and Remote Sensing;2022