Walter, V.; Koelle, M. & Collmar, D. [2022]
Measuring the Wisdom of the Crowd: How Many is Enough?. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2022.
DOI: 10.1007/s41064-022-00202-2

Budde, Lina E.; Collmar, David; Soergel, Uwe; Iwaszczuk, Dorota [2024]
Investigating the Relationship between Image Quality and Crowdsourcing for Labeling. 44. Wissenschaftlich-Technische Jahrestagung der DGPF in Remagen – Publikationen der DGPF, Band 32, 2024, pp. 191-202.
URL: https://www.dgpf.de/src/tagung/jt2024/proceedings/paper/12_dgpf2024_Budde_et_al.pdf

Collmar, D.; Walter, V.; Koelle, M. & Soergel, U. [2023]
FROM MULTIPLE POLYGONS TO SINGLE GEOMETRY: OPTIMIZATION OF POLYGON INTEGRATION FOR CROWDSOURCED DATA. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1/W1-2023, 159–166.
DOI: 10.5194/isprs-annals-X-1-W1-2023-159-2023

Collmar, D.; Walter, V.; Kölle, M. Sörgel, U. [2023]
A Two-Step Approach for the Acquisition of Individual Tree Outlines using Paid Crowdsourcing. 43. Wissenschaftlich-Technische Jahrestagung der DGPF in München – Publikationen der DGPF, Band 31, 2023.
URL: https://www.dgpf.de/src/tagung/jt2023/proceedings/paper/09_dgpf2023_Collmar_et_al.pdf
DOI: 10.24407/KXP:1841079707

Walter, V.; Koelle, M. & Collmar, D. [2022]
A Gamification Approach for the Improvement of Paid Crowd-based Labelling of Geospatial Data. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2022, 113–120, 2022.
DOI: 10.5194/isprs-annals-V-4-2022-113-2022

Walter, V.; Koelle, M.; Collmar, D. & Zhang, Y. [2021]
A Two-Level Approach for the Crowd-Based Collection of Vehicles from 3D Point Clouds. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 97–104, 2021.
DOI: 10.5194/isprs-annals-V-4-2021-97-2021