FULL PROGRAM - Friday, September 13/09/2024

09:00 - 09:15 Welcome

09:15 - 10:00 Invited Talk 1: Matthieu Molinier, VTT Technical Research Centre of Finland, Improving temporal frequency of dense multispectral image time series applications for environmental monitoring

10:00 - 11:00 Session 1: Feature selection and dimensionality reduction

• Leveraging band diversity for feature selection in EO data
  Sadia Hussain (IIT Delhi)*; Brejesh Lall (IIT Delhi)

• Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features
  Hiba Najjar (University of Kaiserslautern-Landau & DFKI GmbH)*; Marlon Nuske (DFKI GmbH); Andreas Dengel (DFKI GmbH)

• Dimensionality Reduction for Efficient Semi-supervised Learning from Remote Sensing Images
  Sintija Stevanoska (Jožef Stefan International Postgraduate School & Jožef Stefan Institute)*; Marjan Stoimchev (Jožef Stefan Institute), Jurica Levatić (Jožef Stefan Institute), Sašo Džeroski (Jožef Stefan Institute)

11:00 - 11:30 Coffee Break

11:30 - 12:30 Session 2: Multi-modal and multi-label settings

• Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation
  Francisco Mena (University of Kaiserslautern-Landau & DFKI GmbH)*; Diego Arenas (German Research Center for Artificial Intelligence); Andreas Dengel (University of Kaiserslautern-Landau & DFKI GmbH)

• Domain generalized remote sensing scene captioning via Wikipedia geography articles
  Kerem Aydın (Sabanci University)*; Erchan Aptoula (Sabanci University)

• Hierarchical Multi-label Classification of Land Use/ Land Cover in Remote Sensing Images
  Marjan Stoimchev*(Jožef Stefan International Postgraduate School & Jožef Stefan Institute), Jurica Levatić, Dragi Kocev, and Sašo Džeroski (Jožef Stefan Institute)

12:30 - 14:00 Lunch break

14:00 - 14:45 Invited Talk 2: Giuseppina Andresini & Annalisa Appice, Università di Bari, Italy, Monitoring forest health with AI: approaches for mapping tree dieback in satellite data

14:45 - 15:30 Session 3: Detection and Monitoring

• Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking
  Daniele Rege Cambrin (Politecnico di Torino); Isaac A Corley (University of Texas at San Antonio)*; Paolo Garza (Politecnico di Torino); Peyman  Najafirad (University of Texas at San Antonio)

• A Clustering-based Algorithm for Fast Anomaly Detection in Hyperspectral Images
  Mark Last (Ben-Gurion University of the Negev)*

• A Deep Learning-Based Approach for Mangrove Monitoring
  Lucas José Velôso de Souza (CentraleSupelec); Ingrid Valverde Reis Zreik (CentraleSupélec); Adrien Salem-Sermanet (CentraleSupélec); Nacéra Seghouani (LISN - Paris-Saclay University)*; Lionel Pourchier (EVERSEA)

15:30 Closing