Self-attention for raw optical Satellite Time Series Classification

Understand

The amount of available Earth observation data has increased dramatically in the recent years.

• Efficiently making use of the entire body information is a current challenge in remote sensing and demands for light-weight problem-agnostic models that do not require region- or problem-specific expert knowledge.
• End-to-end trained deep learning models can make use of raw sensory data by learning feature extraction and classification in one step solely from data.
• Still, many methods proposed in remote sensing research require implicit feature extraction through data preprocessing or explicit design of features.