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Semantic segmentation of water bodies in multi-spectral satellite images for situational awareness in emergency response

Wieland, Marc and Martinis, Sandro and Li, Yu (2019) Semantic segmentation of water bodies in multi-spectral satellite images for situational awareness in emergency response. International Archives of Photogrammetry and Remote Sensing, XLII-2, pp. 273-277. International Society for Photogrammetry and Remote Sensing. doi: 10.5194/isprs-archives-XLII-2-W16-273-2019. ISSN 0256-1840.

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Official URL: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/273/2019/


Item URL in elib:https://elib.dlr.de/129268/
Document Type:Article
Title:Semantic segmentation of water bodies in multi-spectral satellite images for situational awareness in emergency response
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wieland, MarcUNSPECIFIEDhttps://orcid.org/0000-0002-1155-723XUNSPECIFIED
Martinis, SandroUNSPECIFIEDhttps://orcid.org/0000-0002-6400-361XUNSPECIFIED
Li, YuUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2019
Journal or Publication Title:International Archives of Photogrammetry and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:XLII-2
DOI:10.5194/isprs-archives-XLII-2-W16-273-2019
Page Range:pp. 273-277
Publisher:International Society for Photogrammetry and Remote Sensing
ISSN:0256-1840
Status:Published
Keywords:Convolutional neural network, Semantic segmentation, Flood disaster, Emergency response, Multi-spectral
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 - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Wieland, Dr Marc
Deposited On:07 Oct 2019 11:30
Last Modified:21 Nov 2023 07:57

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