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Michael Schmitt
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Data fusion and remote sensing - an ever-growing relationship
M Schmitt, XX Zhu
IEEE Geoscience and Remote Sensing Magazine 4 (4), 6-23, 2016
2722016
SEN12MS - A curated dataset of georeferenced multi-spectral Sentinel-1/2 imagery for deep learning and data fusion
M Schmitt, LH Hughes, C Qiu, XX Zhu
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019
2462019
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
2312020
Identifying corresponding patches in SAR and optical images with a pseudo-siamese CNN
LH Hughes, M Schmitt, L Mou, Y Wang, XX Zhu
IEEE Geoscience and Remote Sensing Letters 15 (5), 784-788, 2018
2032018
The SEN1-2 dataset for deep learning in SAR-optical data fusion
M Schmitt, LH Hughes, XX Zhu
ISPRS Technical Commission I Symposium, 2018
2012018
So2Sat LCZ42: A benchmark dataset for global local climate zones classification
XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Häberle, Y Hua, ...
arXiv preprint arXiv:1912.12171, 2019
161*2019
A Conditional Generative Adversarial Network to Fuse SAR And Multispectral Optical Data For Cloud Removal From Sentinel-2 Images
C Grohnfeldt, M Schmitt, X Zhu
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
1322018
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
1272019
Local climate zone-based urban land cover classification from multi-seasonal Sentinel-2 images with a recurrent residual network
C Qiu, L Mou, M Schmitt, XX Zhu
ISPRS Journal of Photogrammetry and Remote Sensing 154, 151-162, 2019
1222019
A deep learning framework for matching of SAR and optical imagery
LH Hughes, D Marcos, S Lobry, D Tuia, M Schmitt
ISPRS Journal of Photogrammetry and Remote Sensing 169, 166-179, 2020
912020
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
842020
Mapping the land cover of Africa at 10 m resolution from multi-source remote sensing data with Google Earth Engine
Q Li, C Qiu, L Ma, M Schmitt, XX Zhu
Remote Sensing 12 (4), 602, 2020
802020
The urban morphology on our planet–Global perspectives from space
XX Zhu, C Qiu, J Hu, Y Shi, Y Wang, M Schmitt, H Taubenböck
Remote Sensing of Environment 269, 112794, 2022
762022
Analysing changes of the Poyang Lake water area using Sentinel-1 synthetic aperture radar imagery
L Zeng, M Schmitt, L Li, XX Zhu
International Journal of Remote Sensing 38 (23), 7041-7069, 2017
762017
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: a semantic segmentation solution
THK Chen, C Qiu, M Schmitt, XX Zhu, CE Sabel, AV Prishchepov
Remote Sensing of Environment 251, 112096, 2020
722020
Feature importance analysis for local climate zone classification using a residual convolutional neural network with multi-source datasets
C Qiu, M Schmitt, L Mou, P Ghamisi, XX Zhu
Remote Sensing 10 (10), 1572, 2018
722018
Wildfire Detection from Multisensor Satellite Imagery Using Deep Semantic Segmentation
D Rashkovetsky, F Mauracher, M Langer, M Schmitt
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
702021
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
632020
Maximum-likelihood-based approach for single-pass synthetic aperture radar tomography over urban areas
M Schmitt, U Stilla
IET Radar, Sonar & Navigation 8 (9), 1145-1153, 2014
572014
Seven city types representing morphologic configurations of cities across the globe
H Taubenböck, H Debray, C Qiu, M Schmitt, Y Wang, XX Zhu
Cities 105, 102814, 2020
552020
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