A Deep Learning Solution for Height Inversion on Forested Areas Using Single and Dual Polarimetric TomoSAR-Reference-Cited by-同舟云学术

A Deep Learning Solution for Height Inversion on Forested Areas Using Single and Dual Polarimetric TomoSAR

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Yang Wenyu¹^ORCID,Vitale Sergio¹^ORCID,Aghababaei Hossein²^ORCID,Ferraioli Giampaolo³^ORCID,Pascazio Vito¹^ORCID,Schirinzi Gilda¹^ORCID

Affiliation:

1. Dipartimento di Ingegneria, University of Naples Parthenope, Napoli, Italy

2. Department of Earth Observation Science, University of Twente, Enschede, Netherlands

3. National Inter-University Consortium for Telecommunications, Parma, Italy

Funder

“MEFISTO” Project, through the Italian Space Agency (ASI) within the framework of BANDO ASI “Studio di nuovi metodi e tecniche basati sull’utilizzo di dati SAR multimissione/multifrequenza”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10286267.pdf?arnumber=10286267

Reference11 articles.

1. Underlying Topography Inversion Using Dual Polarimetric TomoSAR

2. Extended Three-Stage Polarimetric SAR Interferometry Algorithm by Dual-Polarization Data

3. Forest SAR Tomography: Principles and Applications

4. Layover solution in multibaseline SAR interferometry

5. Multibaseline Polarimetric SAR Tomography of a Boreal Forest at P- and L-Bands

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