Nina Merkle
Orcid: 0000-0003-4177-1066
According to our database1,
Nina Merkle
authored at least 16 papers
between 2017 and 2024.
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Bibliography
2024
User Optimized Provision of Conflict Related Satellite- and Geoinformation - Ukraine Case Study.
Proceedings of the IGARSS 2024, 2024
2023
AD-HOC Situational Awareness During Floods Using Remote Sensing Data and Machine Learning Methods.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Satellite Image Augmentation Via Seamless Instance Blending For Building Damage Segmentation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
User-driven flood response & monitoring information - Key findings of the Data4Human project.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2022
2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
SAR-to-Optical Image Translation Based on Conditional Generative Adversarial Networks - Optimization, Opportunities and Limits.
Remote. Sens., 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Semantic Vehicle Segmentation in Very High Resolution Multispectral Aerial Images Using Deep Neural Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Geo-localization Refinement of Optical Satellite Images by Embedding Synthetic Aperture Radar Data in Novel Deep Learning Frameworks
PhD thesis, 2018
Exploring the Potential of Conditional Adversarial Networks for Optical and SAR Image Matching.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Road Segmentation in SAR Satellite Images With Deep Fully Convolutional Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2018
2017
Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images.
Remote. Sens., 2017
On the possibility of conditional adversarial networks for multi-sensor image matching.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017