A CNN-Based Interferogram Filtering Approach to Enhance the Co-Seismic Surface Displacements Identification by Exploiting the EPOSAR DInSAR Maps Global Archive-Reference-Cited by-同舟云学术

A CNN-Based Interferogram Filtering Approach to Enhance the Co-Seismic Surface Displacements Identification by Exploiting the EPOSAR DInSAR Maps Global Archive

Published:2023-07-16 Issue: Volume: Page:
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Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Fusco Adele¹,Buonanno Sabatino¹,Zeni Giovanni¹,Monterroso Fernando¹,Atzori Simone²,Bordogna Gloria³,Carrara Paola³,Bonano Manuela¹,Zinno Ivana¹,Onorato Giovanni¹,De Luca Claudio¹,Casu Francesco³,Manunta Michele¹,Yasir Muhammad¹,Lanari Riccardo¹

Affiliation:

1. IREA - CNR,Napoli,Italy

2. INGV,Roma,Italy

3. IREA - CNR,Milano,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282743.pdf?arnumber=10282743

Reference10 articles.

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2. Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning

3. Deep Learning with Python;chollet,2021

4. Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps

5. Interferometric SAR phase unwrapping using the finite element method

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1. A Step-Further to the Automatic Identification of Co-Seismic Displacements on the Eposar Dinsar Maps Global Archive;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07