Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion
2020 · ISPRS Journal of Photogrammetry and Remote Sensing · 441 citations
https://doi.org/10.1016/j.isprsjprs.2020.05.013
M
Michael Schmitt
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Michael Schmitt is an academic researcher from Philipps University of Marburg. The author has contributed to research in topics: Remote-Sensing Image Classification & Synthetic Aperture Radar (SAR) Applications and Techniques & Remote Sensing and LiDAR Applications. The author has an h-index of 42, co-authored 264 publications.
ORCID: 0000-0002-0575-2362Papers by this author
worksThe urban morphology on our planet – Global perspectives from space
2021 · Remote Sensing of Environment · 149 citations
https://doi.org/10.1016/j.rse.2021.112794
Seven city types representing morphologic configurations of cities across the globe
2020 · Cities · 103 citations
https://doi.org/10.1016/j.cities.2020.102814
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks
2020 · ISPRS Journal of Photogrammetry and Remote Sensing · 75 citations
https://doi.org/10.1016/j.isprsjprs.2020.01.028
Identification of gene biomarkers for respiratory syncytial virus infection in a bronchial epithelial cell line
2008 · Genomic Medicine · 43 citations
https://doi.org/10.1007/s11568-009-9080-y
Potential of Large-Scale Inland Water Body Mapping from Sentinel-1/2 Data on the Example of Bavaria’s Lakes and Rivers
2020 · PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science · 40 citations
https://doi.org/10.1007/s41064-020-00111-2
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