Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387042022> ?p ?o ?g. }
Showing items 1 to 58 of
58
with 100 items per page.
- W4387042022 endingPage "1" @default.
- W4387042022 startingPage "1" @default.
- W4387042022 abstract "Recently, deep convolutional networks have made great progress on the task of super resolution, i.e. reconstructing images with finer spatial resolution. However, although the reconstructions are visually impressive, they may lack physical consistency. This aspect is sought in remote sensing, where the resolution of satellite imagery (e.g. Sentinel-2) may be too coarse to characterize the physical structure and dynamics of certain landscapes. Through the study of flooding dynamics in wet grasslands, we propose a super resolution approach that allows deriving fine resolution patterns that are visually realistic and physically exploitable. This approach is based on an architecture, Fusion-UNet, allowing the fusion of multispectral data with a digital terrain model (DTM) associated with a loss function combining content, structure and segmentation losses. Our results show that this model can precisely predict water levels while restituting the fine structure of the landscape. This approach allows to refine the production of hydrological and ecological indicators to define the state of the ecosystem." @default.
- W4387042022 created "2023-09-27" @default.
- W4387042022 creator A5004120590 @default.
- W4387042022 creator A5046531394 @default.
- W4387042022 creator A5051128551 @default.
- W4387042022 date "2023-01-01" @default.
- W4387042022 modified "2023-10-14" @default.
- W4387042022 title "Super-resolution by fusing multi-spectral and terrain models: application to water level mapping" @default.
- W4387042022 doi "https://doi.org/10.1109/lgrs.2023.3319548" @default.
- W4387042022 hasPublicationYear "2023" @default.
- W4387042022 type Work @default.
- W4387042022 citedByCount "0" @default.
- W4387042022 crossrefType "journal-article" @default.
- W4387042022 hasAuthorship W4387042022A5004120590 @default.
- W4387042022 hasAuthorship W4387042022A5046531394 @default.
- W4387042022 hasAuthorship W4387042022A5051128551 @default.
- W4387042022 hasBestOaLocation W43870420222 @default.
- W4387042022 hasConcept C154945302 @default.
- W4387042022 hasConcept C161840515 @default.
- W4387042022 hasConcept C173163844 @default.
- W4387042022 hasConcept C181843262 @default.
- W4387042022 hasConcept C205372480 @default.
- W4387042022 hasConcept C205649164 @default.
- W4387042022 hasConcept C41008148 @default.
- W4387042022 hasConcept C58640448 @default.
- W4387042022 hasConcept C62649853 @default.
- W4387042022 hasConcept C89600930 @default.
- W4387042022 hasConceptScore W4387042022C154945302 @default.
- W4387042022 hasConceptScore W4387042022C161840515 @default.
- W4387042022 hasConceptScore W4387042022C173163844 @default.
- W4387042022 hasConceptScore W4387042022C181843262 @default.
- W4387042022 hasConceptScore W4387042022C205372480 @default.
- W4387042022 hasConceptScore W4387042022C205649164 @default.
- W4387042022 hasConceptScore W4387042022C41008148 @default.
- W4387042022 hasConceptScore W4387042022C58640448 @default.
- W4387042022 hasConceptScore W4387042022C62649853 @default.
- W4387042022 hasConceptScore W4387042022C89600930 @default.
- W4387042022 hasFunder F4320320883 @default.
- W4387042022 hasFunder F4320327215 @default.
- W4387042022 hasLocation W43870420221 @default.
- W4387042022 hasLocation W43870420222 @default.
- W4387042022 hasOpenAccess W4387042022 @default.
- W4387042022 hasPrimaryLocation W43870420221 @default.
- W4387042022 hasRelatedWork W1511643196 @default.
- W4387042022 hasRelatedWork W172072032 @default.
- W4387042022 hasRelatedWork W2006066416 @default.
- W4387042022 hasRelatedWork W2011962637 @default.
- W4387042022 hasRelatedWork W2036727360 @default.
- W4387042022 hasRelatedWork W2124951708 @default.
- W4387042022 hasRelatedWork W2163677711 @default.
- W4387042022 hasRelatedWork W2771047279 @default.
- W4387042022 hasRelatedWork W4318664220 @default.
- W4387042022 hasRelatedWork W62810557 @default.
- W4387042022 isParatext "false" @default.
- W4387042022 isRetracted "false" @default.
- W4387042022 workType "article" @default.