1 code implementation • 5 Apr 2024 • Patrick Ebel, Brandon Victor, Peter Naylor, Gabriele Meoni, Federico Serva, Rochelle Schneider
Hurricanes and coastal floods are among the most disastrous natural hazards.
1 code implementation • 11 Apr 2023 • Patrick Ebel, Vivien Sainte Fare Garnot, Michael Schmitt, Jan Dirk Wegner, Xiao Xiang Zhu
Clouds and haze often occlude optical satellite images, hindering continuous, dense monitoring of the Earth's surface.
Ranked #1 on Cloud Removal on SEN12MS-CR
1 code implementation • 9 Jan 2023 • Fang Xu, Yilei Shi, Patrick Ebel, Wen Yang, Xiao Xiang Zhu
In this paper, we introduce Planet-CR, a benchmark dataset for high-resolution cloud removal with multi-modal and multi-resolution data fusion.
no code implementations • 5 Jan 2023 • Patrick Ebel, Christoph Lingenfelder, Andreas Vogelsang
With modern infotainment systems, drivers are increasingly tempted to engage in secondary tasks while driving.
1 code implementation • 6 Jun 2022 • Fang Xu, Yilei Shi, Patrick Ebel, Lei Yu, Gui-Song Xia, Wen Yang, Xiao Xiang Zhu
The challenge of the cloud removal task can be alleviated with the aid of Synthetic Aperture Radar (SAR) images that can penetrate cloud cover.
Ranked #2 on Cloud Removal on SEN12MS-CR
1 code implementation • 24 Jan 2022 • Patrick Ebel, Yajin Xu, Michael Schmitt, Xiaoxiang Zhu
About half of all optical observations collected via spaceborne satellites are affected by haze or clouds.
Ranked #3 on Cloud Removal on SEN12MS-CR-TS
no code implementations • 12 Feb 2021 • Sudipan Saha, Patrick Ebel, Xiao Xiang Zhu
In particular, we are interested in the combination of the images acquired by optical and Synthetic Aperture Radar (SAR) sensors.
1 code implementation • 16 Sep 2020 • Patrick Ebel, Andrea Meraner, Michael Schmitt, Xiaoxiang Zhu
This work has been accepted by IEEE TGRS for publication.
1 code implementation • 10 Jul 2020 • Kim Julian Gülle, Nicholas Ford, Patrick Ebel, Florian Brokhausen, Andreas Vogelsang
Depending on the word embeddings we use in our approaches, we manage to cluster the user stories in two ways: one that is closer to the original categorization and another that allows new insights into the dataset, e. g. to find potentially new categories.
1 code implementation • 2 Jul 2020 • Andrea Meraner, Patrick Ebel, Xiao Xiang Zhu, Michael Schmitt
Optical remote sensing imagery is at the core of many Earth observation activities.
Ranked #3 on Cloud Removal on SEN12MS-CR
no code implementations • 16 Apr 2020 • Patrick Ebel, Ibrahim Emre Göl, Christoph Lingenfelder, Andreas Vogelsang
Our approach predicts probable destinations and routes of a vehicle, based on the most recent partial trajectory and additional contextual data.
1 code implementation • 19 Feb 2020 • Michael Schmitt, Jonathan Prexl, Patrick Ebel, Lukas Liebel, Xiao Xiang Zhu
Therefore, this paper seeks to make a case for the application of weakly supervised learning strategies to get the most out of available data sources and achieve progress in high-resolution large-scale land cover mapping.
Weakly-supervised Learning Weakly supervised Semantic Segmentation +1
1 code implementation • ICCV 2019 • Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, Eduard Trulls
We demonstrate that this representation is particularly amenable to learning descriptors with deep networks.