Reproducing Geospatial Crowdsourcing: How Consistent Is the Crowd?

Collmar, David; Walter, Volker; Sörgel, Uwe; Ullmann, Roland

doi:10.5194/isprs-annals-XI-4-2026-69-2026

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

David Collmar, Volker Walter, and Uwe Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-2024, 83–90, https://doi.org/10.5194/isprs-annals-X-4-2024-83-2024,https://doi.org/10.5194/isprs-annals-X-4-2024-83-2024, 2024

SLAM for Indoor Mapping of Wide Area Construction Environments

Vincent Ress, Wei Zhang, David Skuddis, Norbert Haala, and Uwe Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 209–216, https://doi.org/10.5194/isprs-annals-X-2-2024-209-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-209-2024, 2024

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

X. Zhang, D. Lin, R. Xue, and U. Soergel

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1693–1698, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1693-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1693-2023, 2023

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

M. Kölle, V. Walter, S. Schmohl, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 945–952, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-945-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-945-2023, 2023

DEVELOPMENT OF A WEB PLATFORM TO VISUALIZE PS-INSAR DATA IN A BUILDING INFORMATION MANAGEMENT SYSTEM

P. J. Schneider, C.-H. Yang, Y. Li, M. Koppe, U. Soergel, K. Pakzad, and T. Rudolf

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 869–873, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-869-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-869-2023, 2023

VEHICLE OCCLUSION REMOVAL FROM SINGLE AERIAL IMAGES USING GENERATIVE ADVERSARIAL NETWORKS

M. Xiang, S. Azimi, R. Bahmanyar, U. Sörgel, and P. Reinartz

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 629–634, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-629-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-629-2023, 2023

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

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

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 159–166, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-159-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-159-2023, 2023

URBAN CLASSIFICATION BASED ON TOP-VIEW POINT CLOUD AND SAR IMAGE FUSION WITH SWIN TRANSFORMER

R. Xue, X. Zhang, and U. Soergel

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 559–564, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-559-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-559-2022, 2022

EVALUATION OF THE QUALITY OF REAL-TIME MAPPING WITH CRANE CAMERAS AND VISUAL SLAM ALGORITHMS

L. Joachim, W. Zhang, N. Haala, and U. Soergel

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 545–552, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-545-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-545-2022, 2022

A TWO-STAGE APPROACH FOR RARE CLASS SEGMENTATION IN LARGE-SCALE URBAN POINT CLOUDS

X. Zhang, R. Xue, and U. Soergel

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 329–334, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-329-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-329-2022, 2022

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

V. Walter, M. Kölle, and D. Collmar

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2022, 113–120, https://doi.org/10.5194/isprs-annals-V-4-2022-113-2022,https://doi.org/10.5194/isprs-annals-V-4-2022-113-2022, 2022

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

M. Kölle, V. Walter, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 259–266, https://doi.org/10.5194/isprs-annals-V-2-2022-259-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-259-2022, 2022

MATCHING PERSISTENT SCATTERER CLUSTERS TO BUILDING ELEMENTS IN MESH REPRESENTATION

P. J. Schneider and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 123–130, https://doi.org/10.5194/isprs-annals-V-3-2022-123-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-123-2022, 2022

Reproducing Geospatial Crowdsourcing: How Consistent Is the Crowd?

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