Nina Merkle

Orcid: 0000-0003-4177-1066

According to our database1, Nina Merkle authored at least 15 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

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

Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI.
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
Stepwise Refinement Of Low Resolution Labels For Earth Observation Data: Part 2.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Stepwise Refinement Of Low Resolution Labels For Earth Observation Data: Part 1.
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

3D Semantic Segmentation from Multi-View Optical Satellite Images.
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

Deep Learning for SAR-Optical Image Matching.
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


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