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CEUR-WS.org/Vol-2766 - MACLEAN: MAChine Learning for EArth ObservatioN Workshop 2020

Vol-2766
urn:nbn:de:0074-2766-8

Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

MACLEAN 2020
MAChine Learning for EArth ObservatioN Workshop 2020

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop
co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020)

Virtual Conference, September 14-18, 2020.

Edited by

Thomas Corpetti *
Dino Ienco
Roberto Interdonato *
Minh-Tan Pham
Sébastien Lefèvre *

* CNRS, LETG-Rennes COSTEL UMR 6554 CNRS, Rennes, France
** IRSTEA, UMR Tetis, Montpellier, France
*** CIRAD, UMR Tetis, Montpellier, France
**** Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France
***** Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France

Table of Contents

Summary: There were 17 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume, 7 as regular papers and 2 as short papers.

Session 1: Semi-Supervised and (Inter)active Learning

Interactive Learning for Semantic Segmentation in Earth Observation
Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais
Deep Active Learning in Remote Sensing for data efficient Change Detection
Vit Ruzicka, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler
On Auxiliary Losses for Semi-Supervised Semantic Segmentation
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre

Session 2: Physical event characterization

Comparing Machine Learning Methods for Predicting Seismic P-wave Velocity on Global Scale
Yousef Razeghi, Wilhelm Hasselbring, Christian Berndt, Ines Dumke
Multi-modal deep learning models for ocean wind speed estimation
Clémentin Boittiaux, Paul Nguyen Hong Duc, Nicolas Longépé, Sara Pensieri, Roberto Bozzano, Dorian Cazau
Joint Learning for Cyclone Track Nowcasting
Abhijit Mukherjee, Pabitra Mitra

Session 3: Multi-spectral and Colorization

Dual Color-Image Discriminators Adversarial Networks for Generating Artificial-SAR Colorized Images from SENTINEL-1 Images
Youssef Mourchid, Marc Donias, Yannick Berthoumieu
Tri-Band Assessment of Multi-Spectral Satellite Data for Flood Detection
Pallavi Jain, Bianca Schoen-Phelan, Robert Ross
Clustering Sargassum Mats from Earth Observation Data
Estèle Glize, Marie-José Huguet, Gilles Tredan, Marc Lucas, Marion Sutton

2020-10-27: submitted by Roberto Interdonato, metadata incl. bibliographic data published under Creative Commons CC0
2020-12-09: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|