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Earth Observation

Earth Observation (EO) refers to the use of remote sensing technologies to monitor land, marine (seas, rivers, lakes) and atmosphere. Satellite-based EO relies on the use of satellite-mounted payloads to gather imaging data about the Earth’s characteristics. The images are then processed and analyzed in order to extract different types of information that can serve a very wide range of applications and industries.

Papers

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Showing 151–160 of 518 papers

TitleStatusHype
MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation TasksCode0
Multi-Task Hypergraphs for Semi-supervised Learning using Earth ObservationsCode0
Core-Set Selection for Data-efficient Land Cover SegmentationCode0
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite ImageryCode0
Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing ImageryCode0
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar dataCode0
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning ApproachCode0
Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer LearningCode0
Neural Embedding Compression For Efficient Multi-Task Earth Observation ModellingCode0
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning PerspectivesCode0
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