| Extracting agricultural fields from remote sensing imagery using graph-based growing contours MP Wagner, N Oppelt Remote sensing 12 (7), 1205, 2020 | 50 | 2020 |
| Automatic grassland cutting status detection in the context of spatiotemporal Sentinel-1 imagery analysis and artificial neural networks A Taravat, MP Wagner, N Oppelt Remote Sensing 11 (6), 711, 2019 | 50 | 2019 |
| Advanced fully convolutional networks for agricultural field boundary detection A Taravat, MP Wagner, R Bonifacio, D Petit Remote sensing 13 (4), 722, 2021 | 30 | 2021 |
| Remote sensing data assimilation in dynamic crop models using particle swarm optimization MP Wagner, T Slawig, A Taravat, N Oppelt ISPRS International Journal of Geo-Information 9 (2), 105, 2020 | 22 | 2020 |
| Deep learning and adaptive graph-based growing contours for agricultural field extraction MP Wagner, N Oppelt Remote sensing 12 (12), 1990, 2020 | 19 | 2020 |
| NNetEn2D: Two-Dimensional Neural Network Entropy in Remote Sensing Imagery and Geophysical Mapping A Velichko, MP Wagner, A Taravat, B Hobbs, A Ord Remote Sensing 14 (9), 2166, 2022 | 8 | 2022 |
| Ice floe tracking with Sentinel-2 M König, MP Wagner, N Oppelt Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water …, 2020 | 5 | 2020 |
| Slatecalculation—A practical tool for deriving norm minerals in the lowest-grade metamorphic pelites and roof slates HW Wagner, D Jung, JF Wagner, MP Wagner Minerals 10 (5), 395, 2020 | 3 | 2020 |
| Particle swarm optimization for assimilation of remote sensing data in dynamic crop models MP Wagner, A Taravat, N Oppelt Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI 11149, 174-183, 2019 | 3 | 2019 |
| Statistical and image processing techniques for remote sensing in agricultural monitoring and mapping M Wagner | | 2020 |
