Single object tracking (SOT) in satellite video (SV) enables the continuous acquisition of
position and range information of an arbitrary object, showing promising value in remote …

Abstract Prior studies on Remote Sensing Foundation Model (RSFM) reveal immense
potential towards a generic model for Earth Observation. Nevertheless these works primarily …

Abstract Synthetic Aperture Radar (SAR) observations, valued for their consistent acquisition
schedule and not being affected by cloud cover and variations between day and night, have …

Remote sensing images are useful for a wide variety of planet monitoring applications, from
tracking deforestation to tackling illegal fishing. The Earth is extremely diverse---the amount …

Precise crop mapping is crucial for guiding agricultural production, forecasting crop yield,
and ensuring food security. Integrating optical and synthetic aperture radar (SAR) satellite …

The diversity and complementarity of sensors available for Earth Observations (EO) calls for
developing bespoke self-supervised multimodal learning approaches. However, current …

Earth observation (EO) is a prime instrument for monitoring land and ocean processes,
studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's …

Accurate spatial information for agricultural field parcels is important for agricultural
production management and understanding agro-industrialization and intensification …

Deep learning methods have achieved promising results in crop mapping using satellite
image time series. A challenge still remains on how to better learn discriminative feature …

Multisensor data analysis allows exploiting heterogeneous data regularly acquired by the
many available remote sensing (RS) systems. Machine-and deep-learning methods use the …