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Multimodal self-supervised learning for semantic analysis of PolSAR imagery

Dong, Yanxin and Hänsch, Ronny (2023) Multimodal self-supervised learning for semantic analysis of PolSAR imagery. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1704-1707. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023-07-16 - 2023-07-21, Pasadena, USA. doi: 10.1109/IGARSS52108.2023.10283301.

Full text not available from this repository.

Official URL: https://dx.doi.org/10.1109/IGARSS52108.2023.10283301


Item URL in elib:https://elib.dlr.de/200088/
Document Type:Conference or Workshop Item (Speech)
Title:Multimodal self-supervised learning for semantic analysis of PolSAR imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Dong, YanxinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Date:2023
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
DOI:10.1109/IGARSS52108.2023.10283301
Page Range:pp. 1704-1707
Status:Published
Keywords:Machine Learning, Multimodal Learning
Event Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Pasadena, USA
Event Type:international Conference
Event Start Date:16 July 2023
Event End Date:21 July 2023
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 - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Hänsch, Ronny
Deposited On:30 Nov 2023 13:13
Last Modified:24 Apr 2024 21:00

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