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Patrick Ebel
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Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion
A Meraner, P Ebel, XX Zhu, M Schmitt
ISPRS Journal of Photogrammetry and Remote Sensing 166, 333-346, 2020
2742020
Beyond cartesian representations for local descriptors
P Ebel, A Mishchuk, KM Yi, P Fua, E Trulls
Proceedings of the IEEE/CVF International Conference on Computer Vision, 253-262, 2019
1222019
Multisensor data fusion for cloud removal in global and all-season Sentinel-2 imagery
P Ebel, A Meraner, M Schmitt, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 59 (7), 5866-5878, 2020
115*2020
SEN12MS-CR-TS: A Remote-Sensing Data Set for Multimodal Multitemporal Cloud Removal
P Ebel, Y Xu, M Schmitt, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022
71*2022
Weakly supervised semantic segmentation of satellite images for land cover mapping--challenges and opportunities
M Schmitt, J Prexl, P Ebel, L Liebel, XX Zhu
arXiv preprint arXiv:2002.08254, 2020
702020
GLF-CR: SAR-enhanced cloud removal with global–local fusion
F Xu, Y Shi, P Ebel, L Yu, GS Xia, W Yang, XX Zhu
ISPRS Journal of Photogrammetry and Remote Sensing 192, 268-278, 2022
432022
Thresholding functional connectomes by means of mixture modeling
NZ Bielczyk, F Walocha, PW Ebel, KV Haak, A Llera, JK Buitelaar, ...
NeuroImage 171, 402-414, 2018
322018
Fusing multi-modal data for supervised change detection
P Ebel, S Saha, XX Zhu
The international archives of the photogrammetry, remote sensing and spatial …, 2021
252021
Supervised change detection using prechange optical-SAR and postchange SAR data
S Saha, M Shahzad, P Ebel, XX Zhu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
152022
UnCRtainTS: Uncertainty quantification for cloud removal in optical satellite time series
P Ebel, VSF Garnot, M Schmitt, JD Wegner, XX Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
132023
Explaining the effects of clouds on remote sensing scene classification
J Gawlikowski, P Ebel, M Schmitt, XX Zhu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
132022
Building an asr system for mboshi using a cross-language definition of acoustic units approach
O Scharenborg, P Ebel, F Ciannella, M Hasegawa-Johnson, N Dehak
6th Workshop on Spoken Language Technologies for Under-resourced Languages …, 2018
82018
Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark
F Xu, Y Shi, P Ebel, W Yang, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 62, 1-15, 2023
5*2023
Explicit Haze & Cloud Removal for Global Land Cover Classification
Z Gu, P Ebel, Q Yuan, M Schmitt, XX Zhu
CVPR 2022 Workshop on Multimodal Learning for Earth and Environment, 2022
52022
Self-supervised Multisensor Change Detection
S Saha, P Ebel, XX Zhu
arXiv preprint arXiv:2103.05102, 0
3
SpikeCaKe: Semi-analytic nonparametric Bayesian inference for spike-spike neuronal connectivity
L Ambrogioni, P Ebel, M Hinne, U Güçlü, M Gerven, E Maris
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
22019
Exploring the Potential of SAR Data for Cloud Removal in Optical Satellite Imagery
F Xu, Y Shi, P Ebel, L Yu, GS Xia, W Yang, XX Zhu
arXiv preprint arXiv:2206.02850, 2022
12022
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting
P Ebel, B Victor, P Naylor, G Meoni, F Serva, R Schneider
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Deep Learning for Cloud Removal in Spaceborne Earth Observation
P Ebel
Technische Universität München, 2023
2023
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