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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 201–250 of 518 papers

TitleStatusHype
Assimilation of SWOT Altimetry and Sentinel-1 Flood Extent Observations for Flood Reanalysis -- A Proof-of-Concept—0
Large region targets observation scheduling by multiple satellites using resampling particle swarm optimization—0
Fewshot learning on global multimodal embeddings for earth observation tasks—0
A Self-Supervised Framework for Space Object Behaviour Characterisation—0
Feature Spectrum Learning for Remote Sensing Change Detection—0
Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection—0
Adaptive and Robust Image Processing on CubeSats—0
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation—0
Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation—0
Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks—0
AI-based evaluation of the SDGs: The case of crop detection with earth observation data—0
A clustering approach to heterogeneous change detection—0
Generating Synthetic Oracle Datasets to Analyze Noise Impact: A Study on Building Function Classification Using Tweets—0
Generative Adversarial Training for Weakly Supervised Cloud Matting—0
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery—0
Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping—0
Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward—0
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots—0
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities—0
Geometric Correction and Mosaic Generation of Geo High Resolution Camera Images—0
Cloud Removal in Remote Sensing Using Sequential-Based Diffusion Models—0
Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset—0
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery—0
Class Attention Network for Semantic Segmentation of Remote Sensing Images—0
Artificial Intelligence Mangrove Monitoring System Based on Deep Learning and Sentinel-2 Satellite Data in the UAE (2017-2024)—0
Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space—0
Global High Categorical Resolution Land Cover Mapping via Weak Supervision—0
Cross-sensor self-supervised training and alignment for remote sensing—0
Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal—0
Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models—0
Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification—0
Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI—0
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification—0
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms—0
Changer: Feature Interaction is What You Need for Change Detection—0
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production—0
Multitask Learning for Large-scale Semantic Change Detection—0
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning—0
How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?—0
How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?—0
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking—0
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations—0
Challenges in data-based geospatial modeling for environmental research and practice—0
Hyperspectral and multispectral image fusion under spectrally varying spatial blurs -- Application to high dimensional infrared astronomical imaging—0
ICEYE microsatellite SAR constellation status update: Evaluation of first commercial imaging modes—0
Deep Diffusion Models and Unsupervised Hyperspectral Unmixing for Realistic Abundance Map Synthesis—0
Impact Evaluations in Data Poor Settings: The Case of Stress-Tolerant Rice Varieties in Bangladesh—0
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning—0
Implementation and comparative quantitative assessment of different multispectral image pansharpening approches—0
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting—0
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