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From visual to automatic information extraction on spaceborne SAR imagery

Anglberger, Harald (2022) From visual to automatic information extraction on spaceborne SAR imagery. Enhancing Satellite Imagery and Geospatial Information Capabilities in Support of Nuclear Safeguards, 2022-11-15 - 2022-11-17, Vienna.

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Kurzfassung

The Microwaves and Radar Institute of the German Aerospace Center (DLR) has over 40 years of experience in spaceborne radar imaging. In the past, the main challenges included the development of the sensory part of an imaging radar’s space segment itself. Nowadays, synthetic aperture radar imagery is a well established datasource for a multitude of applications. With the forthcoming of an increasing number of public and commercial missions, one of the biggest current challenges is the handling of the exploding amount of data. This strongly calls for fully automatic ways to extract highervalue information from earth observation data in general, because human resources for image analysis are limited. This presentation will show the current state of DLR’s radar image analysis software toolset RADIAN that has been developed specifically for security applications. It will show the way from manual to automatic information extraction by starting with conventional but highly optimized techniques to prepare imagery for visual analysis. Already during RADIAN’s early development stages, operational usage, robustness, efficient implementation and automated workflows were main objectives, which will be illustrated with several applicational examples. Afterwards, new approaches for an automated extraction of information are given for classical reconnaissance tasks like change detection or object recognition. Conventional rule-based methods still play a major part, but also stateof-the art machine learning techniques are important key factors in current research topics.

elib-URL des Eintrags:https://elib.dlr.de/189667/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:From visual to automatic information extraction on spaceborne SAR imagery
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Anglberger, HaraldHarald.Anglberger (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2022
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:SAR, automatic, machine learning, change detection, radar
Veranstaltungstitel:Enhancing Satellite Imagery and Geospatial Information Capabilities in Support of Nuclear Safeguards
Veranstaltungsort:Vienna
Veranstaltungsart:Workshop
Veranstaltungsdatum:2022-11-15 - 2022-11-17
Veranstalter :IAEA
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Sicherheitsrelevante Erdbeobachtung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Hochfrequenztechnik und Radarsysteme > Aufklärung und Sicherheit
Hinterlegt von: Anglberger, Harald
Hinterlegt am:04 Nov 2022 12:14
Letzte Änderung:06 Dez 2022 18:26

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