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Online Random Forests for Urban Area Classification from Polarimetric SAR Images

Hänsch, Ronny and Hellwich, Olaf (2019) Online Random Forests for Urban Area Classification from Polarimetric SAR Images. In: 2019 Joint Urban Remote Sensing Event, JURSE 2019, pp. 1-4. IEEE. Joint Urban Remote Sensing Event (JURSE), 2019-05-22 - 2019-05-24, Vannes, France. doi: 10.1109/JURSE.2019.8808964. ISBN 978-172810009-8. ISSN 2642-9535.

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Official URL: https://ieeexplore.ieee.org/abstract/document/8808964


The growing amount of available image data renders methods unfeasible that require offline processing, i.e. the availability of all data in the memory of the computer. This paper illustrates how Random Forests can be trained by batch processing, i.e. at every iteration only a small amount of samples need to be kept in memory. The benefits of this training scheme are illustrated for the use case of urban area detection from PolSAR imagery. The achieved optimization performance is on par with using all data in the standard offline procedure.

Item URL in elib:https://elib.dlr.de/127487/
Document Type:Conference or Workshop Item (Speech)
Title:Online Random Forests for Urban Area Classification from Polarimetric SAR Images
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Hellwich, OlafTechnische Universität BerlinUNSPECIFIEDUNSPECIFIED
Date:24 May 2019
Journal or Publication Title:2019 Joint Urban Remote Sensing Event, JURSE 2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Series Name:2019 Joint Urban Remote Sensing Event (JURSE)
Keywords:Classification, Semantic Segmentation, Random Forest, Batch Processing, Online Learning
Event Title:Joint Urban Remote Sensing Event (JURSE)
Event Location:Vannes, France
Event Type:international Conference
Event Dates:2019-05-22 - 2019-05-24
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 - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Hänsch, Ronny
Deposited On:19 Jun 2019 10:24
Last Modified:11 Aug 2023 08:28

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