Road segmentation in SAR satellite images with deep fully convolutional neural networks C Henry, SM Azimi, N Merkle IEEE Geoscience and Remote Sensing Letters 15 (12), 1867-1871, 2018 | 221 | 2018 |
Exploring the potential of conditional adversarial networks for optical and SAR image matching N Merkle, S Auer, R Mueller, P Reinartz IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 159 | 2018 |
Sar-to-optical image translation based on conditional generative adversarial networks—Optimization, opportunities and limits M Fuentes Reyes, S Auer, N Merkle, C Henry, M Schmitt Remote Sensing 11 (17), 2067, 2019 | 140 | 2019 |
Exploiting deep matching and SAR data for the geo-localization accuracy improvement of optical satellite images N Merkle, W Luo, S Auer, R Müller, R Urtasun Remote Sensing 9 (6), 586, 2017 | 118 | 2017 |
Deep learning for SAR-optical image matching LH Hughes, N Merkle, T Bürgmann, S Auer, M Schmitt IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 38 | 2019 |
On the possibility of conditional adversarial networks for multi-sensor image matching N Merkle, P Fischer, S Auer, R Müller 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 30 | 2017 |
Automated building segmentation and damage assessment from satellite images for disaster relief X Yuan, SM Azimi, C Henry, V Gstaiger, M Codastefano, M Manalili, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021 | 11 | 2021 |
A new approach for optical and sar satellite image registration N Merkle, R Müller, P Schwind, G Palubinskas, P Reinartz ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015 | 11 | 2015 |
An efficient inverse radiotherapy planning method for VMAT using quadratic programming optimization W Hoegele, R Loeschel, N Merkle, P Zygmanski Medical Physics 39 (1), 444-454, 2012 | 11 | 2012 |
Registration of optical and sar satellite images based on geometric feature templates N Merkle, R Müller, P Reinartz | 9 | 2015 |
Citywide estimation of parking space using aerial imagery and OSM data fusion with deep learning and fine-grained annotation C Henry, J Hellekes, N Merkle, SM Azimi, F Kurz The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021 | 8 | 2021 |
3D semantic segmentation from multi-view optical satellite images P d’Angelo, D Cerra, SM Azimi, N Merkle, J Tian, S Auer, M Pato, ... IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 6 | 2019 |
An Evolutionary Algorithm for fast intensity based image matching between optical and SAR imagery P Fischer, P Schuegraf, NM Merkle, T Storch ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2018 | 6 | 2018 |
User-driven flood response & monitoring information–Key findings of the Data4Human project A Schneibel, N Merkle, M Wieland, K Lechner, S Azimi, F Henkel, C Henry, ... 2022 IEEE Global Humanitarian Technology Conference (GHTC), 46-53, 2022 | 4 | 2022 |
Parking space inventory from above: Detection on aerial images and estimation for unobserved regions J Hellekes, A Kehlbacher, ML Díaz, N Merkle, C Henry, F Kurz, ... IET Intelligent Transport Systems 17 (5), 1009-1021, 2023 | 3 | 2023 |
Real-time aerial imagery for crisis management: Lessons learned from an European civil protection exercise NM Merkle, V Gstaiger, E Schröter, P d'Angelo, S Azimi, U Kippnich, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 3 | 2020 |
DLRAD—A first look on the new vision and mapping benchmark dataset F Kurz, D Waigand, P Pekezou-Fouopi, E Vig, H Corentin, N Merkle, ... Proceedings of the ISPRS TC1 Symposium—Accepted Contribution, Hannover …, 2018 | 3 | 2018 |
AD-HOC Situational Awareness During Floods Using Remote Sensing Data and Machine Learning Methods M Wieland, N Merkle, A Schneibel, C Henry, K Lechner, X Yuan, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 2 | 2023 |
Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI N Merkle, R Bahmanyar, C Henry, SM Azimi, X Yuan, S Schopferer, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
Aus dem All und aus der Luft frisch auf den (Lage-) Tisch: Der Nutzen von Luft-und Satellitendaten für die Lageerfassung V Gstaiger, N Merkle, D Rosenbaum, M Wieland, K Lechner, U Kippnich Im Einsatz, 56-61, 2022 | 2 | 2022 |