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Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping - Challenges and Opportunities

Schmitt, Michael and Prexl, Jonathan and Ebel, Patrick and Liebel, Lukas and Zhu, Xiao Xiang (2020) Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping - Challenges and Opportunities. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-3, pp. 795-802. ISPRS 2020, 2020-08-31 - 2020-09-02, Nice, France. doi: 10.5194/isprs-annals-V-3-2020-795-2020. ISSN 2194-9042.

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Official URL: https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/795/2020/


Item URL in elib:https://elib.dlr.de/138021/
Document Type:Conference or Workshop Item (Speech)
Title:Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping - Challenges and Opportunities
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schmitt, MichaelTUMUNSPECIFIEDUNSPECIFIED
Prexl, JonathanSignal Processing in Earth Observation, Technical University of MunichUNSPECIFIEDUNSPECIFIED
Ebel, PatrickTUMUNSPECIFIEDUNSPECIFIED
Liebel, Lukaslukas.liebel (at) tum.deUNSPECIFIEDUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIEDUNSPECIFIED
Date:2020
Journal or Publication Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:V-3
DOI:10.5194/isprs-annals-V-3-2020-795-2020
Page Range:pp. 795-802
ISSN:2194-9042
Status:Published
Keywords:Land Cover Mapping, Deep Learning, Machine Learning, Data Fusion
Event Title:ISPRS 2020
Event Location:Nice, France
Event Type:international Conference
Event Start Date:31 August 2020
Event End Date:2 September 2020
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:Remote Sensing Technology Institute > EO Data Science
Deposited By: Liu, Rong
Deposited On:24 Nov 2020 17:51
Last Modified:08 Aug 2025 10:15

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