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08/14/2023
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression
Uncertainty estimation in machine learning is paramount for enhancing th...
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04/11/2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
Clouds and haze often occlude optical satellite images, hindering contin...
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04/05/2023
Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping
Jointly harnessing complementary features of multi-modal input data in a...
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12/05/2022
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild
Antrophonegic pressure (i.e. human influence) on the environment is one ...
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09/26/2022
EOD: The IEEE GRSS Earth Observation Database
In the era of deep learning, annotated datasets have become a crucial as...
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01/24/2022
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal
About half of all optical observations collected via spaceborne satellit...
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11/03/2021
Deep-Learning-Based Single-Image Height Reconstruction from Very-High-Resolution SAR Intensity Data
Originally developed in fields such as robotics and autonomous driving w...
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05/25/2021
There is no data like more data – current status of machine learning datasets in remote sensing
Annotated datasets have become one of the most crucial preconditions for...
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04/01/2021
Remote Sensing Image Classification with the SEN12MS Dataset
Image classification is one of the main drivers of the rapid development...
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11/23/2020
Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification
Human Settlement Extent (HSE) and Local Climate Zone (LCZ) maps are both...
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11/23/2020
Building a Parallel Universe Image Synthesis from Land Cover Maps and Auxiliary Raster Data
We synthesize both optical RGB and SAR remote sensing images from land c...
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09/16/2020
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery
This work has been accepted by IEEE TGRS for publication. The majority o...
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05/16/2020
Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset
As a unique classification scheme for urban forms and functions, the loc...
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02/19/2020
Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping – Challenges and Opportunities
Fully automatic large-scale land cover mapping belongs to the core chall...
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12/19/2019
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification
Access to labeled reference data is one of the grand challenges in super...
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06/18/2019
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion
The availability of curated large-scale training data is a crucial facto...
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07/04/2018
The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion
While deep learning techniques have an increasing impact on many technic...
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01/25/2018