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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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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.

Item URL in elib:https://elib.dlr.de/189667/
Document Type:Conference or Workshop Item (Speech)
Title:From visual to automatic information extraction on spaceborne SAR imagery
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:SAR, automatic, machine learning, change detection, radar
Event Title:Enhancing Satellite Imagery and Geospatial Information Capabilities in Support of Nuclear Safeguards
Event Location:Vienna
Event Type:Workshop
Event Dates:2022-11-15 - 2022-11-17
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 - Security-relevant Earth Observation
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Reconnaissance and Security
Deposited By: Anglberger, Harald
Deposited On:04 Nov 2022 12:14
Last Modified:06 Dec 2022 18:26

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