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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 401–425 of 518 papers

TitleStatusHype
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing ImagesCode1
Paradigm selection for Data Fusion of SAR and Multispectral Sentinel data applied to Land-Cover ClassificationCode0
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification—0
Auction-based and Distributed Optimization Approaches for Scheduling Observations in Satellite Constellations with Exclusive Orbit Portions—0
Single View Geocentric Pose in the WildCode1
Measuring economic activity from space: a case study using flying airplanes and COVID-19Code0
Shadow Neural Radiance Fields for Multi-view Satellite PhotogrammetryCode1
A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural NetworksCode0
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion—0
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions—0
Generating Physically-Consistent Satellite Imagery for Climate VisualizationsCode1
Big Plastic Masses Detection using Sentinel 2 Images—0
Self-supervised Change Detection in Multi-view Remote Sensing ImagesCode1
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems—0
Energy-based Models for Earth Observation Applications—0
Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a general-purpose sensor-fusion semantic embedding model—0
ICEYE microsatellite SAR constellation status update: Evaluation of first commercial imaging modes—0
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV ImageryCode0
Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine Translation—0
Class Attention Network for Semantic Segmentation of Remote Sensing Images—0
Learning Structures in Earth Observation Data with Gaussian Processes—0
Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation—0
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
Disentangling Derivatives, Uncertainty and Error in Gaussian Process ModelsCode1
Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks—0
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