ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume X-1/W1-2023
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
05 Dec 2023
 | 05 Dec 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

Related authors

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
EVALUATION OF CONSUMER-GRADE AND SURVEY-GRADE UAV-LIDAR
G. Mandlburger, M. Kölle, F. Pöppl, and M. Cramer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 99–106, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-99-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-99-2023, 2023
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
WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHES
M. Kölle, D. Laupheimer, V. Walter, N. Haala, and U. Soergel
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 93–100, https://doi.org/10.5194/isprs-annals-V-2-2021-93-2021,https://doi.org/10.5194/isprs-annals-V-2-2021-93-2021, 2021