170 citations · 357 across the 11 of their papers we have counts for
9 papers · 1 filter
EOD: The IEEE GRSS Earth Observation Database
Michael Schmitt, Pedram Ghamisi, Naoto Yokoya +1
In the era of deep learning, annotated datasets have become a crucial asset to the remote sensing community. In the last decade, a plethora of different datasets was published, eac…
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal
Patrick Ebel, Yajin Xu, Michael Schmitt +1
About half of all optical observations collected via spaceborne satellites are affected by haze or clouds. Consequently, cloud coverage affects the remote sensing practitioner's ca…
Remote Sensing Image Classification with the SEN12MS Dataset
Michael Schmitt, Yu-Lun Wu
Image classification is one of the main drivers of the rapid developments in deep learning with convolutional neural networks for computer vision. So is the analogous task of scene…
Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary Raster Data
Gerald Baier, Antonin Deschemps, Michael Schmitt +1
We synthesize both optical RGB and synthetic aperture radar (SAR) remote sensing images from land cover maps and auxiliary raster data using generative adversarial networks (GANs).…
Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping -- Challenges and Opportunities
Michael Schmitt, Jonathan Prexl, Patrick Ebel +2
Fully automatic large-scale land cover mapping belongs to the core challenges addressed by the remote sensing community. Usually, the basis of this task is formed by (supervised) m…
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 +2
Human settlement extent (HSE) information is a valuable indicator of world-wide urbanization as well as the resulting human pressure on the natural environment. Therefore, mapping…