Gobbi, Giorgia and Rizzoli, Paola and Sica, Francescopaolo and Bruzzone, Lorenzo (2021) Optimizing PHI-NET for High-Resolution InSAR Parameters Estimation. In: International Geoscience and Remote Sensing Symposium (IGARSS). IGARSS 2021, 2021-07-12 - 2021-07-16, Brussels, Belgium.
![]() |
PDF
- Only accessible within DLR
776kB |
Abstract
Φ-Net is a novel deep learning architecture developed for the estimation of interferometric SAR parameters, i.e. the interferometric phase and coherence. The network, trained on a data set of synthetic images only, has shown outstanding denoising capabilities, surpassing state-of-the-art algorithms when tested on both synthetic and real InSAR data. We aim to further improve its performance by investigating new loss functions and optimizing the network structure. A preliminary analysis shows auspicious results which will be detailed in the final paper.
Item URL in elib: | https://elib.dlr.de/141570/ | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
Title: | Optimizing PHI-NET for High-Resolution InSAR Parameters Estimation | ||||||||||||||||||||
Authors: |
| ||||||||||||||||||||
Date: | 2021 | ||||||||||||||||||||
Journal or Publication Title: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||
Open Access: | No | ||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||
Status: | Published | ||||||||||||||||||||
Keywords: | Synthetic Aperture Radar, deep learning, convolutional neural network, denoising, InSAR phase, coherence | ||||||||||||||||||||
Event Title: | IGARSS 2021 | ||||||||||||||||||||
Event Location: | Brussels, Belgium | ||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||
Event Dates: | 2021-07-12 - 2021-07-16 | ||||||||||||||||||||
Organizer: | IEEE-GRSS | ||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||
DLR - Research theme (Project): | R - Projekt TanDEM-X (old) | ||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||
Institutes and Institutions: | Microwaves and Radar Institute > Spaceborne SAR Systems | ||||||||||||||||||||
Deposited By: | Gobbi, Giorgia | ||||||||||||||||||||
Deposited On: | 26 Mar 2021 16:10 | ||||||||||||||||||||
Last Modified: | 03 Dec 2021 18:54 |
Repository Staff Only: item control page