Highlight: The work by Ashutosh Kumar on feature relevance in deep learning for 3D point cloud classification got awarded the prize for best paper!
The work in this paper was performed during Ashutosh Kumars internship in the 3DGeo in summer 2018 with the successful conclusion in a paper published in the ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Science. We thank the Organizing and Scientific Committees of the ISPRS Workshop Laser Scanning for their constructive review and appreciation of this paper!
The talks are over, but some impressions were captured…
… tweeted about: #3DGeo #ISPRSgsw
… and the full papers are openly accessible:
Anders, K., Lindenbergh, R. C., Vos, S. E., Mara, H., de Vries, S., and Höfle, B. (2019). HIGH-FREQUENCY 3D GEOMORPHIC OBSERVATION USING HOURLY TERRESTRIAL LASER SCANNING DATA OF A SANDY BEACH, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 317-324, DOI: 10.5194/isprs-annals-IV-2-W5-317-2019
Kumar, A., Anders, K., Winiwarter, L., and Höfle, B. (2019). FEATURE RELEVANCE ANALYSIS FOR 3D POINT CLOUD CLASSIFICATION USING DEEP LEARNING, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 373-380, DOI: 10.5194/isprs-annals-IV-2-W5-373-2019