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March 28, 2025
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Volume V-3-2020
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Volume V-3-2020
https://doi.org/10.5194/isprs-annals-V-3-2020-795-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-V-3-2020-795-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
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03 Aug 2020
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03 Aug 2020
WEAKLY SUPERVISED SEMANTIC SEGMENTATION OF SATELLITE IMAGES FOR LAND COVER MAPPING – CHALLENGES AND OPPORTUNITIES
M. Schmitt
,
J. Prexl
,
P. Ebel
,
L. Liebel
,
and
X. X. Zhu
M. Schmitt
×
Signal Processing in Earth Observation, Technical University of Munich, Munich, Germany
J. Prexl
×
Signal Processing in Earth Observation, Technical University of Munich, Munich, Germany
P. Ebel
×
Signal Processing in Earth Observation, Technical University of Munich, Munich, Germany
L. Liebel
×
Chair of Remote Sensing Technology, Technical University of Munich, Munich, Germany
X. X. Zhu
https://orcid.org/0000-0001-5530-3613
×
Signal Processing in Earth Observation, Technical University of Munich, Munich, Germany
Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
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Latest update: 27 Mar 2025