Follow
Nina Merkle
Nina Merkle
Verified email at dlr.de
Title
Cited by
Cited by
Year
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
1492018
Exploring the potential of conditional adversarial networks for optical and SAR image matching
N Merkle, S Auer, R Müller, P Reinartz
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
1112018
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
862019
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
782017
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
282017
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
252019
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
102015
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
102012
Registration of optical and sar satellite images based on geometric feature templates
N Merkle, R Müller, P Reinartz
82015
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, S Azimi, F Kurz
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021
32021
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
32019
Dlrad-a first look on the new vision and mapping benchmark dataset
F Kurz, D Waigand, P Pekezou Fouopi, E Vig, C Henry, N Merkle, ...
32018
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
32018
Geo-localization Refinement of Optical Satellite Images by Embedding Synthetic Aperture Radar Data in Novel Deep Learning Frameworks
NM Merkle
Universität Osnabrück, 2018
22018
Automated building segmentation and damage assessment from satellite images for disaster relief
X Yuan, S Azimi, C Henry, V Gstaiger, M Codastefano, M Manalili, S Cairo, ...
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021
12021
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
12020
Stepwise refinement of low resolution labels for earth observation data: Part 1
D Cerra, N Merkle, C Henry, K Alonso, P d’Angelo, S Auer, R Bahmanyar, ...
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
12020
Semantic Vehicle Segmentation in Very High Resolution Multispectral Aerial Images Using Deep Neural Networks
N Merkle, SM Azimi, S Pless, F Kurz
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
12019
DLRAD-a first look on the new vision and mapping benchmark dataset for autonomous driving
F Kurz, D Waigand, P Pekezou-Fouopi, E Vig, C Henry, N Merkle, ...
Int. Arch. Photogramm., Remote Sens. Spatial Inf. Sci 42 (1), 2018
12018
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
2022
The system can't perform the operation now. Try again later.
Articles 1–20