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

IEEE IRI’2020 Call for Workshop Proposals:

Proposals are solicited for workshops to be held in conjunction with 21st IEEE International Conference on Information Reuse and Integration (IEEE IRI 2020), August 11-13, 2020, Las Vegas, Nevada, USA. In the current information-centric IT landscape, we live in a data-driven era where effectively processing and integrating humungous volumes of information from diverse sources in order to enable effective decision making and knowledge generation has become one of the most significant challenges of current times. The field of Information Reuse and Integration (IRI) seeks to maximize the reuse of information by creating simple, rich, and reusable knowledge representations and consequently explores strategies for integrating this knowledge into systems and applications. IRI plays a pivotal role in the capture, representation, maintenance, integration, validation, and extrapolation of information; and applies both information and knowledge for enhancing decision-making in various application domains.

Each workshop will provide a forum to address a specific topic at the forefront of information reuse and integration. A workshop must be a full or half-day in length. All workshop papers will be included in the conference proceedings and on IEEE Xplore.

Conference website: https://homepages.uc.edu/~niunn/IRI20/

Workshop Proposal Submission Guidelines

Proposals for new workshops must include:

• Workshop title
• A draft "Call for Papers" articulating the scope and topics covered by the workshop
• A brief summary and justification for the workshop, including anticipated benefits to the IRI community
• Planned activities
• Expected number of submissions and acceptance rate
• Expected number of attendees
• Program chair(s), and, if available, tentative program committee
• A one-paragraph biographical sketch of each organizer, describing relevant qualifications, including research and conference/workshop organizing experience

Please submit workshop proposals by email to the IRI Workshop Chairs:

• Suzan Arslanturk, suzan.arslanturk@wayne.edu
• Tanmay Bhowmik, tbhowmik@cse.msstate.edu
• Qirong Mao, mao_qr@ujs.edu.cn

All workshop proposals will be reviewed by the Workshop Chairs.

Proposal Evaluation Criteria

• The workshop is within the scope of information reuse and integration and focuses on a well-defined technical topic. Preference will be given to proposals in the areas of Internet of Things and Big Data.
• The workshop is likely to have a significant impact on the target community, including high participation.

Important Dates

• Submission deadline for Workshop Proposals: March 06, 2020
• Notification of Acceptance : March 13, 2020
• Deadline to setup a Workshop website: March 23, 2020