FROM MULTIPLE POLYGONS TO SINGLE GEOMETRY: OPTIMIZATION OF POLYGON INTEGRATION FOR CROWDSOURCED DATA

Collmar, D.; Walter, V.; Kölle, M.; Sörgel, U.

doi:https://doi.org/10.5194/isprs-annals-X-1-W1-2023-159-2023

Articles | Volume X-1/W1-2023

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Articles | Volume X-1/W1-2023

https://doi.org/10.5194/isprs-annals-X-1-W1-2023-159-2023

Articles | Volume X-1/W1-2023

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05 Dec 2023

| 05 Dec 2023

FROM MULTIPLE POLYGONS TO SINGLE GEOMETRY: OPTIMIZATION OF POLYGON INTEGRATION FOR CROWDSOURCED DATA

D. Collmar, V. Walter, M. Kölle, and U. Sörgel

D. Collmar

https://orcid.org/0000-0003-0752-7633

Institute for Photogrammetry (ifp), University of Stuttgart, Stuttgart, Germany

V. Walter

Institute for Photogrammetry (ifp), University of Stuttgart, Stuttgart, Germany

M. Kölle

Institute for Photogrammetry (ifp), University of Stuttgart, Stuttgart, Germany

U. Sörgel

Institute for Photogrammetry (ifp), University of Stuttgart, Stuttgart, Germany

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A GAMIFICATION APPROACH FOR THE IMPROVEMENT OF PAID CROWD-BASED LABELLING OF GEOSPATIAL DATA

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LEARNING FROM THE PAST: CROWD-DRIVEN ACTIVE TRANSFER LEARNING FOR SEMANTIC SEGMENTATION OF MULTI-TEMPORAL 3D POINT CLOUDS

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MATCHING PERSISTENT SCATTERER CLUSTERS TO BUILDING ELEMENTS IN MESH REPRESENTATION

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WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHES

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FROM MULTIPLE POLYGONS TO SINGLE GEOMETRY: OPTIMIZATION OF POLYGON INTEGRATION FOR CROWDSOURCED DATA

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