Michael Mommert

According to our database, Michael Mommert authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction.

Nafiseh Kakhani, Moien Rangzan, Ali Jamali, Sara Attarchi, Seyed Kazem Alavipanah, Michael Mommert, Nikolaos Tziolas, Thomas Scholten

IEEE Trans. Geosci. Remote. Sens., 2024

Multi-Modal Diffusion for Self-Supervised Pretraining.

Alexander Lontke, Michael Mommert, Damian Borth

Proceedings of the IGARSS 2024, 2024

Advanced Prediction of Soil Organic Carbon: A Hybrid Transformer Network with Cost-Sensitive Learning Using Remote Sensing and Climate Data.

Nafiseh Kakhani, Michael Mommert, Thomas Scholten

Proceedings of the IGARSS 2024, 2024

Parameter Efficient Self-Supervised Geospatial Domain Adaptation.

Linus Scheibenreif, Michael Mommert, Damian Borth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Physics-Guided Multitask Learning for Estimating Power Generation and CO₂ Emissions From Satellite Imagery.

Joëlle Hanna, Damian Borth, Michael Mommert

IEEE Trans. Geosci. Remote. Sens., 2023

Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data.

Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Dataset Distillation for Eurosat.

Julius Lautz, Daniel Leal, Linus Scheibenreif, Damian Borth, Michael Mommert

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Masked Vision Transformers for Hyperspectral Image Classification.

Linus Scheibenreif, Michael Mommert, Damian Borth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation.

Joëlle Hanna, Michael Mommert, Damian Borth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Toward Global Estimation of Ground-Level NO₂ Pollution With Deep Learning and Remote Sensing.

Linus Scheibenreif, Michael Mommert, Damian Borth

IEEE Trans. Geosci. Remote. Sens., 2022

A Multimodal Approach for Event Detection: Study of UK Lockdowns in the Year 2020.

Joëlle Hanna, Linus Scheibenreif, Michael Mommert, Damian Borth

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Traffic Noise Estimation from Satellite Imagery with Deep Learning.

Leonardo Eicher, Michael Mommert, Damian Borth

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Self-supervised Vision Transformers for Land-cover Segmentation and Classification.

Linus Scheibenreif, Joëlle Hanna, Michael Mommert, Damian Borth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space.

Linus Scheibenreif, Michael Mommert, Damian Borth

CoRR, 2021

A Novel Dataset and Benchmark for Surface No2 Prediction from Remote Sensing Data Including Covid Lockdown Measures.

Linus Scheibenreif, Michael Mommert, Damian Borth

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Power Plant Classification from Remote Imaging with Deep Learning.

Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Characterization of Industrial Smoke Plumes from Remote Sensing Data.

Michael Mommert, Mario Sigel, Marcel Neuhausler, Linus Scheibenreif, Damian Borth

CoRR, 2020

2019

sbpy: A Python module for small-body planetary astronomy.

Michael Mommert, Michael S. P. Kelley, Miguel de Val-Borro, Jian-Yang Li, Giannina Guzman, Brigitta M. Sipocz, Josef Durech, Mikael Granvik, William S. Noble, Nick Moskovitz, Antti Penttilä, Nalin Samarasinha

J. Open Source Softw., 2019

2017

PHOTOMETRYPIPELINE: An automated pipeline for calibrated photometry.

Michael Mommert

Astron. Comput., 2017