Personen und Ansprechpartner
Maximilian Hell
Fakultät Kunststofftechnik und Vermessung
Besucheranschrift
Röntgenring 8
97070 Würzburg
97070 Würzburg
Raum
B.1.05
Aufgabenbereich(e)
AI4EM: Artificial Intelligence for Environmental Monitoring
Publikationen
Publikationen
2023
- Hell, M., Brandmeier, M., Nüchter, A. (2023) Transferability of Deep Learning Models for Land Use/Land Cover Classification. 43. Wissenschaftlich-Technische Jahrestagung der DGPF in München – Publikationen der DGPF, Band 31. dgpf.de/src/tagung/jt2023/proceedings/paper/07_dgpf2023_Hell_et_al.pdf
2022
- Cherif, E., Hell, M., & Brandmeier, M. (2022). DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin. Remote Sensing, 14(19), 5000. doi.org/10.3390/rs14195000
- Hell, M., Brandmeier, M., Briechle, S., & Krzystek, P. (2022). Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds Using Two Deep Neural Networks: PointCNN and 3DmFV-Net. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. doi.org/10.1007/s41064-022-00200-4
2020
- Schmitt, A., Wendleder, A., Kleynmans, R., Hell, M., Roth, A., & Hinz, S. (2020). Multi-Source and Multi-Temporal Image Fusion on Hypercomplex Bases. Remote Sensing, 12(6), 943. doi.org/10.3390/rs12060943
Konferenzbeiträge
2024
- DGPF Jahrestagung, Remagen am Rhein
Präsentation:
Detection of noisy classification labels in land use and land cover maps - EGU General Assembly, Vienna, Österreich
Poster Präsentation:
Detection of noise in supervised label data: a practical approach in the Amazonas region of Brazil using land use and land cover maps
2023
- DGPF Jahrestagung, München
Poster Präsentation:
Transferability of Deep Learning Models for Land Use/Land Cover Classification in the Amazon Rainforest - EGU General Assembly, Wien, Österreich
Präsentation:
Transfer Learning for LULC Classification on multi-modal data in the Amazon Basin
2022
- EGU General Assembly, online
Präsentation:
Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land Use/Land Cover Mapping - Living Planet Symposium, Bonn
Poster Präsentation:
Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land Use/Land Cover Mapping
2021
- DGPF Jahrestagung, online
Präsentation:
Tree species classification with lidar point clouds using the deep neural networks PointCNN and 3DmFV-Net
Weitere Informationen
Links
Konferenzbeiträge
2024
- DGPF Jahrestagung, Remagen am Rhein, Germany
Präsentation:
Detection of noisy classification labels in land use and land cover maps
- EGU General Assembly, Vienna, Austria
Poster Präsentation:
Detection of noise in supervised label data: a practical approach in the Amazonas region of Brazil using land use and land cover maps
2023
- DGPF Jahrestagung, München
Poster Präsentation:
Transferability of Deep Learning Models for Land Use/Land Cover Classification in the Amazon Rainforest - EGU General Assembly, Wien, Österreich
Präsentation:
Transfer Learning for LULC Classification on multi-modal data in the Amazon Basin
2022
- EGU General Assembly, online
Präsentation:
Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land Use/Land Cover Mapping - Living Planet Symposium, Bonn
Poster Präsentation:
Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land Use/Land Cover Mapping
2021
- DGPF Jahrestagung, online
Präsentation:
Tree species classification with lidar point clouds using the deep neural networks PointCNN and 3DmFV-Net