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.

CHALLENGE
Spanning three years while featuring five unique datasets and challenges, SpaceNet (https://spacenet.ai/) 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 https://spacenet.ai/rotterdam/.  
 
IMPORTANT DATES
Full paper submission:          March 7, 2020
Notification of acceptance:     March 28, 2020
Camera-ready paper:             April 10, 2020
Workshop (full day):            June 14, 2020

WORKSHOP ORGANIZERS
– 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

SPONSORING
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 (http://www.esa.int/), cosmiQ works (http://www.cosmiqworks.org/),
Bronze sponsors: Kitware (https://www.kitware.com/).
 
Website: https://www.grss-ieee.org/earthvision2020/

See you soon!

On behalf of the organizing team,
Ronny Hänsch