Folgen
Michael Schmitt
Titel
Zitiert von
Zitiert von
Jahr
Data fusion and remote sensing - an ever-growing relationship
M Schmitt, XX Zhu
IEEE Geoscience and Remote Sensing Magazine 4 (4), 6-23, 2016
1932016
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
1312018
The SEN1-2 dataset for deep learning in SAR-optical data fusion
M Schmitt, LH Hughes, XX Zhu
ISPRS Technical Commission I Symposium, 2018
126*2018
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
1232019
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
1082020
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
89*2019
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
882019
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
822018
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
752019
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
532018
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
512017
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
482014
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
482013
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
472020
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
472020
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
452020
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
452017
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
402014
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
392017
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
392014
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20