Michael Schmitt
Title
Cited by
Cited by
Year
Data fusion and remote sensing - an ever-growing relationship
M Schmitt, XX Zhu
IEEE Geoscience and Remote Sensing Magazine 4 (4), 6-23, 2016
1392016
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
862018
The SEN1-2 dataset for deep learning in SAR-optical data fusion
M Schmitt, LH Hughes, XX Zhu
ISPRS Technical Commission I Symposium, 2018
722018
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
662019
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
622019
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
462018
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
42*2019
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
422014
Compressive Sensing Based Layover Separation in Airborne Single-Pass Multi-Baseline InSAR Data
M Schmitt, U Stilla
IEEE Geoscience and Remote Sensing Letters 10 (2), 313-317, 2013
422013
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
402017
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
372018
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
362019
Adaptive Multilooking of Airborne Single-Pass Multi-baseline InSAR Stacks
M Schmitt, U Stilla
IEEE Transactions on Geoscience and Remote Sensing 52 (1), 305-312, 2014
362014
A CNN for the Identification of Corresponding Patches in SAR and Optical Imagery of Urban Scenes
L Mou, M Schmitt, Y Wang, X Zhu
2017 Joint Urban Remote Sensing Event, 2017
342017
Adaptive covariance matrix estimation for multi-baseline InSAR data stacks
M Schmitt, JL Schönberger, U Stilla
IEEE Transactions on Geoscience and Remote Sensing 52 (11), 6807-6817, 2014
332014
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
322020
Maximum-likelihood estimation for multi-aspect multi-baseline SAR interferometry of urban areas
M Schmitt, U Stilla
ISPRS Journal of Photogrammetry and Remote Sensing 87, 68-77, 2014
292014
Mining hard negative samples for SAR-optical image matching using generative adversarial networks
LH Hughes, M Schmitt, XX Zhu
Remote Sensing 10 (10), 1552, 2018
282018
Fusion of SAR and optical remote sensing data - challenges and recent trends
M Schmitt, F Tupin, XX Zhu
IEEE Geoscience and Remote Sensing Symposium (IGARSS 2017), 5458-5461, 2017
272017
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks
C Qiu, M Schmitt, C Geiß, THK Chen, XX Zhu
ISPRS Journal of Photogrammetry and Remote Sensing 163, 152-170, 2020
262020
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