mediaTUM - Media and Publication Server

Title:: SEN1-2
Document type:: Forschungsdaten
Publication date:: 03.07.2018
Responsible:: Schmitt, Michael
Authors:: Schmitt, Michael
Author affiliation:: TUM
Publisher:: TUM
End date of data production:: 15.12.2017
Subject area:: BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; GEO Geowissenschaften
Resource type:: Abbildungen von Objekten / image of objects
Other resource types:: The dataset contains Copernicus data (2017). Terms and conditions
Data type:: Bilder / images
Description:: SEN1-2 is a dataset consisting of 282,384 pairs of corresponding synthetic aperture radar and optical image patches acquired by the Sentinel-1 and Sentinel-2 remote sensing satellites, respectively.
Method of data assessment:: Semi-automatic download and image preparation using Google Earth Engine and MATLAB
Key words:: Remote sensing, deep learning, data fusion, synthetic aperture radar imagery, optical imagery
Technical remarks:: View and download (43.7 GB, 564,770 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1436631):
rsync rsync://m1436631@dataserv.ub.tum.de/m1436631/
Language:: en
Rights:: by, http://creativecommons.org/licenses/by/4.0

BibTeX

SEN1-2