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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

Showing 501518 of 518 papers

TitleStatusHype
Fully Convolutional Siamese Networks for Change DetectionCode0
Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing ImageryCode0
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite ImageryCode0
Core-Set Selection for Data-efficient Land Cover SegmentationCode0
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural NetworksCode0
Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor MappingCode0
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV ImageryCode0
Big Earth Data and Machine Learning for Sustainable and Resilient AgricultureCode0
General-Purpose Multimodal Transformer meets Remote Sensing Semantic SegmentationCode0
Multi-Task Hypergraphs for Semi-supervised Learning using Earth ObservationsCode0
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 imagesCode0
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning PerspectivesCode0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
Self-attention for raw optical Satellite Time Series ClassificationCode0
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite DataCode0
Uncertainty-Aware Regression for Socio-Economic Estimation via Multi-View Remote SensingCode0
Geolocating Earth Imagery from ISS: Integrating Machine Learning with Astronaut Photography for Enhanced Geographic MappingCode0
On-orbit model training for satellite imagery with label proportionsCode0
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