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categories
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Peer Reviewed Journal Papers

Koelle, M.; Laupheimer, D.; Schmohl, S.; Haala, N.; Rottensteiner, F.; Wegner, J.D. & Ledoux, H. [2021]
The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo. ISPRS Open Journal of Photogrammetry and Remote Sensing, 1, 2021.
DOI: 10.1016/j.ophoto.2021.100001

Laupheimer, D. & Haala, N. [2021]
Juggling With Representations: On the Information Transfer Between Imagery, Point Clouds, and Meshes for Multi-Modal Semantics. ISPRS Journal of Photogrammetry and Remote Sensing, 176 (2021), 55-68.
DOI: 10.1016/j.isprsjprs.2021.03.007

Mandlburger, G.; Koelle, M.; Nuebel, H. & Soergel, U. [2021]
BathyNet: A Deep Neural Network for Water Depth Mapping from Multispectral Aerial Images. PFG.
DOI: 10.1007/s41064-021-00142-3

Rocca, F.; Li, D.; Tebaldini, S.; Liao, M.; Zhang, L.; Lombardini, F.; Balz, T.; Haala, N.; Ding, X.& Hanssen, R. [2021]
Three- and Four-Dimensional Topographic Measurement and Validation. Remote Sens. 2021, 13, 2861.
DOI: 10.3390/rs13152861

Schulz, J.; Cramer, M. & Herbst, T. [2021]
Evaluation of Phase One Scan Station for Analogue Aerial Image Digitisation. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 89(5), 461--473.
DOI: 10.1007/s41064-021-00174-9

Schwarz, R. K.; Pfeifer, N.; Pfennigbauer, M., & Mandlburger, G. [2021]
Depth Measurement Bias in Pulsed Airborne Laser Hydrography Induced by Chromatic Dispersion. IEEE Geoscience and Remote Sensing Letters, 18(8), 1332–1336.
DOI: 10.1109/LGRS.2020.3003088

Non-reviewed Journal Papers

Cramer, M. & Kresse, W. [2021]
Editorial PFG 5/2021. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 89(5), 369--369.
DOI: 10.1007/s41064-021-00180-x

Peer Reviewed Conference Papers

Koelle, M.; Laupheimer, D.; Walter, V.; Haala, N. & Soergel, U. [2021]
Which 3D Data Representation Does the Crowd Like Best? Crowd-Based Active Learning for Coupled Semantic Segmentation of Point Clouds and Textured Meshes. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 93–100, 2021.
DOI: 10.5194/isprs-annals-V-2-2021-93-2021

Koelle, M.; Walter, V.; Schmohl, S.; Soergel U. [2021]
Remembering Both the Machine and the Crowd When Sampling Points: Active Learning for Semantic Segmentation of ALS Point Clouds. In: Del Bimbo A. et al. (eds) Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, vol 12667. Springer, Cham.
DOI: 10.1007/978-3-030-68787-8_37

Koelle, M.; Walter, V.; Shiller, I.; Soergel U. [2021]
CATEGORISE: An Automated Framework for Utilizing the Workforce of the Crowd for Semantic Segmentation of 3D Point Clouds. In: Bauckhage C. et al. (eds) Pattern Recognition. GCPR 2021. Lecture Notes in Computer Science, vol 13024. Springer, Cham.
DOI: 10.1007/978-3-030-92659-5_41

Schmohl, S.; Koelle, M.; Frolow, R.; Soergel, U. [2021]
Towards Urban Tree Recognition in Airborne Point Clouds with Deep 3D Single-Shot Detectors. In: Del Bimbo A. et al. (eds) Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, vol 12667. Springer, Cham.
DOI: 10.1007/978-3-030-68787-8_38

Schneider, P. J. & Soergel, U. [2021]
Clustering Persistent Scatterer Points Based on a Hybrid Distance Metric. In: Bauckhage C., Gall J., Schwing A. (eds) Pattern Recognition. DAGM GCPR 2021. Lecture Notes in Computer Science, vol 13024. Springer, Cham.
DOI: 10.3390/rs10111816

Schneider, P. J. & Soergel, U. [2021]
Segmentation of Buildings Based on High Resolution Persistent Scatterer Point Clouds. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 65–71.
DOI: 10.5194/isprs-annals-V-3-2021-65-2021

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

Non-reviewed Conference Papers

Joachim, L.; Ackermann, S.; Haala, N. & Soergel, U. [2021]
Using Crane Cameras for Workspace Mapping and Monitoring for an Autonomous Tower Crane. 7th Int. Conference on Machine Control & Guidance, 2021. ISBN: 978-3-00-071292-0, pp. 47 – 53.