Deep-Learning-Based View Interpolation Toward Improved TomoSAR Focusing-Reference-Cited by-同舟云学术

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Deep-Learning-Based View Interpolation Toward Improved TomoSAR Focusing

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Serafín-García Sergio Alejandro¹^ORCID,Nannini Matteo¹^ORCID,Hänsch Ronny¹^ORCID,Martín-del-Campo-Becerra Gustavo Daniel¹^ORCID,Reigber Andreas¹^ORCID

Affiliation:

1. Microwave and Radar Institute, German Aerospace Center (DLR), Weßling, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10586951.pdf?arnumber=10586951

Reference8 articles.

1. First demonstration of airborne SAR tomography using multibaseline L-band data

2. Parameter Selection Criteria for Tomo-SAR Focusing

3. A Deep-Learning Approach for SAR Tomographic Imaging of Forested Areas

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

5. U-Net: Convolutional Networks for Biomedical Image Segmentation

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