Phase sources separation in multi-squint SAR interferometry constellations

Pulella, Andrea (2024) Phase sources separation in multi-squint SAR interferometry constellations. Munich Autumn School on Remote Sensing 2024, 2024-09-30 - 2024-10-02, Innsbruck, Austria.

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Item URL in elib:

https://elib.dlr.de/206826/

Document Type:

Conference or Workshop Item (Poster)

Title:

Phase sources separation in multi-squint SAR interferometry constellations

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Pulella, Andrea	UNSPECIFIED	https://orcid.org/0000-0001-6295-617X	UNSPECIFIED

Date:

September 2024

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

2-D source separation, convolutional neural networks (CNNs), deep learning (DL), multitask learning (MTL), Sentinel-1, Harmony, surface displacements, surface motion, synthetic aperture radar (SAR), synthetic aperture radar interferometry (InSAR), Terrain Observation by Progressive Scans (TOPSs)

Event Title:

Munich Autumn School on Remote Sensing 2024

Event Location:

Innsbruck, Austria

Event Type:

Workshop

Event Start Date:

30 September 2024

Event End Date:

2 October 2024

Organizer:

Universität der Bundeswehr München

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 - Aircraft SAR

Location:

Oberpfaffenhofen

Institutes and Institutions:

Microwaves and Radar Institute
Microwaves and Radar Institute > SAR Technology

Deposited By:

Pulella, M.Eng. Andrea

Deposited On:

08 Oct 2024 16:10

Last Modified:

08 Oct 2024 16:10

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