EarthVision 2020 - Large Scale Computer Vision for Remote Sensing Imagery Call for Papers


EarthVision 2020 - 
Large Scale Computer Vision for Remote Sensing Imagery Workshop l
in conjunction with CVPR 2020, 14th June 2020, Seattle, USA.


Earth Observation (EO) and remote sensing are fastly-growing fields of
research where computer vision, machine learning, and signal/image
processing meet. This workshop, held for its fourth edition at the
CVPR 2020, aims at fostering collaboration between the computer vision
as well as machine learning disciplines and the remote sensing
community to boost automated interpretation of EO data.

We invite contributions in the fields of (not exhaustive list):
- Super-resolution in the spectral and spatial domain  
- Hyperspectral and multispectral image processing  
- 3D reconstruction from aerial images  
- Feature extraction and learning  
- Semantic classification of UAV / aerial and satellite images and videos  
- Deep learning tailored for Earth observation  
- Domain adaptation and concept drift  
- Human-in-the-loop  
- Multi-resolution, multi-temporal, multi-sensor, multi-modal processing  
- Public benchmark data sets: Training data standards, testing & evaluation metrics, as well as open source research and development.

Spanning three years while featuring five unique datasets and
challenges, SpaceNet ( has continued to focus on
different aspects of applying machine learning to solve difficult
foundational mapping problems. Looking ahead to the EarthVision 2020
challenge, SpaceNet 6 will take us to a new frontier of data modality:
Synthetic Aperture Radar (SAR). For the SpaceNet 6 challenge,
participants will be asked to automatically extract building
footprints with computer vision and artificial intelligence algorithms
using SAR data.

The SpaceNet 6 challenge will run for approximately two months,
running March 16 – May 1, 2020. The dataset may be found at
Full paper submission:          March 7, 2020
Notification of acceptance:     March 28, 2020
Camera-ready paper:             April 10, 2020
Workshop (full day):            June 14, 2020

- Devis Tuia, Wageningen University, the Netherlands
- Jan Dirk Wegner, ETH Zurich, Switzerland
- Ronny Hänsch, German Aerospace Center, Germany
- Bertrand Le Saux, ONERA, France
- Naoto Yokoya, RIKEN, Japan
- Ilke Demir, DeepScale
- Nathan Jacobs, Uni. of Kentucky
- Krzysztof Koperski, Maxar
- Fabio Pacifici, Maxar
- Ramesh Raskar, MIT
- Myron Brown, John Hopkins University
- Mariko Burgin, NASA JPL

The event is co-organized by the Image Analysis and Data Fusion (IADF)
Technical Committee of the IEEE-GRSS, and it is sponsored by
Gold sponsors: ESA (, cosmiQ works (,
Bronze sponsors: Kitware (

See you soon!

On behalf of the organizing team,
Ronny Hänsch