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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 401–450 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
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing ImageryCode1
Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models—0
Statistical Learning for End-to-End Simulations—0
Physics-Aware Gaussian Processes in Remote Sensing—0
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations—0
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method—0
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources—0
Randomized kernels for large scale Earth observation applications—0
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
Living in the Physics and Machine Learning Interplay for Earth Observation—0
Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection—0
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study—0
Interactive Learning for Semantic Segmentation in Earth ObservationCode0
Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping—0
Deep Neural Networks for automatic extraction of features in time series satellite images—0
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent NetworksCode1
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources—0
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing—0
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusionCode1
A Perspective on Gaussian Processes for Earth Observation—0
Learning Geocentric Object Pose in Oblique Monocular ImagesCode1
Lightweight Temporal Self-Attention for Classifying Satellite Image Time SeriesCode1
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data—0
The color out of space: learning self-supervised representations for Earth Observation imageryCode1
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