Persons and contacts

Maximilian Hell

Phone

E-Mail

Visiting Address

Röntgenring 8
97070 Würzburg

Room

B.1.05

Areas of Duty

AI4EM: Artificial Intelligence for Environmental Monitoring

2024

Hell, M., Brandmeier, M. (2024) Identifying Plausible Labels from Noisy Training Data for a Land Use and Land Cover Classification Application in Amazônia Legal. Remote Sensing, 16(12):2080. doi.org/10.3390/rs16122080

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. doi.org/10.24407/KXP:1841078182

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

2024

DGPF Jahrestagung, Remagen am Rhein, Germany
Presentation:
Detection of noisy classification labels in land use and land cover maps
EGU General Assembly, Vienna, Austria
Poster Presentation:
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, Munich, Germany
Poster Presentation:
Transferability of Deep Learning Models for Land Use/Land Cover Classification in the Amazon Rainforest
EGU General Assembly, Vienna, Austria
Presentation:
Transfer Learning for LULC Classification on multi-modal data in the Amazon Basin

2022

EGU General Assembly, online
Presentation:
Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land Use/Land Cover Mapping

Living Planet Symposium, Bonn, Germany
Poster Presentation:
Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land Use/Land Cover Mapping

2021

DGPF Jahrestagung, online
Presentation:
Tree species classification with lidar point clouds using the deep neural networks PointCNN and 3DmFV-Net