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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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 TWO-LEVEL APPROACH FOR THE CROWD-BASED COLLECTION OF VEHICLES FROM 3D POINT CLOUDS

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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 97–104, https://doi.org/10.5194/isprs-annals-V-4-2021-97-2021,https://doi.org/10.5194/isprs-annals-V-4-2021-97-2021, 2021

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Enhancing Data Quality in Crowdsourcing for Tree Outline Acquisition in Aerial Imagery via CNN-Based Real-Time Feedback

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Crowd Controls Crowd: Quality Improvement of Polygon Integration in Paid Crowdsourcing

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SLAM for Indoor Mapping of Wide Area Construction Environments

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TARGET-GUIDED LEARNING FOR RARE CLASS SEGMENTATION IN LARGE-SCALE URBAN POINT CLOUDS

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LEARNING ON THE EDGE: BENCHMARKING ACTIVE LEARNING FOR THE SEMANTIC SEGMENTATION OF ALS POINT CLOUDS

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EVALUATION OF CONSUMER-GRADE AND SURVEY-GRADE UAV-LIDAR

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

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