Abstract: The development of continual learning (CL) methods, which aim to learn new tasks in a sequential manner from the training data acquired continuously, has gained great attention in remote ...
Abstract: Synthetic aperture radar (SAR) imagery plays a crucial role in sea ice mapping. However, the performance of SAR image segmentation is often challenged by issues such as speckle noise and ...
MAESTRO: Masked Autoencoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data
We introduce MAESTRO, a tailored adaptation of the Masked Autoencoder (MAE) framework that effectively orchestrates the use of multimodal, multitemporal, and multispectral Earth Observation (EO) data.
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